diff --git a/.bumpversion.toml b/.bumpversion.toml index b1d2bf1dc..2e0b78bf3 100644 --- a/.bumpversion.toml +++ b/.bumpversion.toml @@ -1,5 +1,5 @@ [tool.bumpversion] -current_version = "0.38.0-beta.3" +current_version = "0.38.0-beta.11" parse = """(?x) (?P0|[1-9]\\d*)\\. (?P0|[1-9]\\d*)\\. diff --git a/Cargo.lock b/Cargo.lock index 5947187cc..822689a0c 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -3455,8 +3455,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c" [[package]] name = "fsst" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "rand 0.9.5", @@ -4815,8 +4815,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a" [[package]] name = "lance" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arc-swap", "arrow", @@ -4888,8 +4888,8 @@ dependencies = [ [[package]] name = "lance-arrow" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-buffer", @@ -4911,7 +4911,7 @@ dependencies = [ [[package]] name = "lance-arrow-scalar" version = "58.0.0" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-buffer", @@ -4925,7 +4925,7 @@ dependencies = [ [[package]] name = "lance-arrow-stats" version = "58.0.0" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-schema", @@ -4934,8 +4934,8 @@ dependencies = [ [[package]] name = "lance-bitpacking" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrayref", "crunchy", @@ -4945,8 +4945,8 @@ dependencies = [ [[package]] name = "lance-core" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-buffer", @@ -4983,8 +4983,8 @@ dependencies = [ [[package]] name = "lance-datafusion" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow", "arrow-array", @@ -5013,8 +5013,8 @@ dependencies = [ [[package]] name = "lance-datagen" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow", "arrow-array", @@ -5031,8 +5031,8 @@ dependencies = [ [[package]] name = "lance-derive" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "proc-macro2", "quote", @@ -5041,8 +5041,8 @@ dependencies = [ [[package]] name = "lance-encoding" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-arith", "arrow-array", @@ -5075,8 +5075,8 @@ dependencies = [ [[package]] name = "lance-file" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-arith", "arrow-array", @@ -5107,8 +5107,8 @@ dependencies = [ [[package]] name = "lance-index" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arc-swap", "arrow", @@ -5172,8 +5172,8 @@ dependencies = [ [[package]] name = "lance-index-core" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-schema", @@ -5195,8 +5195,8 @@ dependencies = [ [[package]] name = "lance-io" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow", "arrow-array", @@ -5222,7 +5222,11 @@ dependencies = [ "pin-project", "prost", "rand 0.9.5", + "reqsign-core", + "reqsign-file-read-tokio", + "reqsign-google", "serde", + "serde_json", "tempfile", "tokio", "tracing", @@ -5232,8 +5236,8 @@ dependencies = [ [[package]] name = "lance-linalg" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-schema", @@ -5247,8 +5251,8 @@ dependencies = [ [[package]] name = "lance-namespace" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow", "async-trait", @@ -5260,8 +5264,8 @@ dependencies = [ [[package]] name = "lance-namespace-impls" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow", "arrow-ipc", @@ -5314,8 +5318,8 @@ dependencies = [ [[package]] name = "lance-select" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-buffer", @@ -5329,8 +5333,8 @@ dependencies = [ [[package]] name = "lance-table" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow", "arrow-array", @@ -5370,8 +5374,8 @@ dependencies = [ [[package]] name = "lance-testing" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "arrow-array", "arrow-schema", @@ -5384,8 +5388,8 @@ dependencies = [ [[package]] name = "lance-tokenizer" -version = "11.0.0-beta.19" -source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-beta.19#3128c0024427cb5bf8c04d492893ae45e78b0511" +version = "12.0.0-beta.2" +source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e" dependencies = [ "frostem", "icu_segmenter", @@ -5398,7 +5402,7 @@ dependencies = [ [[package]] name = "lancedb" -version = "0.38.0-beta.3" +version = "0.38.0-beta.11" dependencies = [ "ahash", "anyhow", @@ -5486,7 +5490,7 @@ dependencies = [ [[package]] name = "lancedb-nodejs" -version = "0.38.0-beta.3" +version = "0.38.0-beta.11" dependencies = [ "arrow-array", "arrow-buffer", @@ -5511,7 +5515,7 @@ dependencies = [ [[package]] name = "lancedb-python" -version = "0.38.0-beta.3" +version = "0.38.0-beta.11" dependencies = [ "arrow", "async-trait", diff --git a/Cargo.toml b/Cargo.toml index c147b06db..a16f0412c 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -13,20 +13,20 @@ categories = ["database-implementations"] rust-version = "1.91.0" [workspace.dependencies] -lance = { "version" = "=11.0.0-beta.19", default-features = false, "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-core = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-datagen = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-file = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-io = { "version" = "=11.0.0-beta.19", default-features = false, "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-index = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-linalg = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-namespace = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-namespace-impls = { "version" = "=11.0.0-beta.19", default-features = false, "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-table = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-testing = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-datafusion = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-encoding = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } -lance-arrow = { "version" = "=11.0.0-beta.19", "tag" = "v11.0.0-beta.19", "git" = "https://github.com/lance-format/lance.git" } +lance = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-core = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-datagen = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-file = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-io = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-index = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-linalg = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-namespace = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-namespace-impls = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-table = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-testing = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-datafusion = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-encoding = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } +lance-arrow = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" } lancedb = { path = "rust/lancedb", default-features = false } ahash = "0.8" # Note that this one does not include pyarrow diff --git a/docs/src/java/java.md b/docs/src/java/java.md index a8869d319..1ce012522 100644 --- a/docs/src/java/java.md +++ b/docs/src/java/java.md @@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`: com.lancedb lancedb-core - 0.38.0-beta.3 + 0.38.0-beta.11 ``` diff --git a/docs/src/js/classes/AutoQuery.md b/docs/src/js/classes/AutoQuery.md new file mode 100644 index 000000000..1d7ea6952 --- /dev/null +++ b/docs/src/js/classes/AutoQuery.md @@ -0,0 +1,518 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / AutoQuery + +# Class: AutoQuery + +A builder for automatic string searches. + +Automatic search determines whether to use full-text or vector search from +the table revision selected for each execution. This builder exposes the +common operations supported by both query families. + +## Extends + +- `StandardQueryBase`<`NativeQuery` \| `NativeVectorQuery`> + +## Properties + +### inner + +```ts +protected inner: Query | VectorQuery | Promise; +``` + +#### Inherited from + +`StandardQueryBase.inner` + +## Methods + +### analyzePlan() + +```ts +analyzePlan(distributedMetrics?): Promise +``` + +Executes the query and returns the physical query plan annotated with runtime metrics. + +This is useful for debugging and performance analysis, as it shows how the query was executed +and includes metrics such as elapsed time, rows processed, and I/O statistics. + +#### Parameters + +* **distributedMetrics?**: [`AnalyzePlanDistributedMetrics`](../type-aliases/AnalyzePlanDistributedMetrics.md) + How distributed worker metrics are displayed for remote query plans. + Defaults to `"aggregate"`. + +#### Returns + +`Promise`<`string`> + +A query execution plan with runtime metrics for each step. + +#### Example + +```ts +import * as lancedb from "@lancedb/lancedb" + +const db = await lancedb.connect("./.lancedb"); +const table = await db.createTable("my_table", [ + { vector: [1.1, 0.9], id: "1" }, +]); + +const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan(); + +Example output (with runtime metrics inlined): +AnalyzeExec verbose=true, metrics=[] + ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs] + Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1] + CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs] + GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns] + FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs] + SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1] + KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1] + LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2] +``` + +#### Inherited from + +`StandardQueryBase.analyzePlan` + +*** + +### execute() + +```ts +protected execute(options?): AsyncGenerator, void, unknown> +``` + +Execute the query and return the results as an + +#### Parameters + +* **options?**: `Partial`<[`QueryExecutionOptions`](../interfaces/QueryExecutionOptions.md)> + +#### Returns + +`AsyncGenerator`<`RecordBatch`<`any`>, `void`, `unknown`> + +#### See + + - AsyncIterator +of + - RecordBatch. + +By default, LanceDb will use many threads to calculate results and, when +the result set is large, multiple batches will be processed at one time. +This readahead is limited however and backpressure will be applied if this +stream is consumed slowly (this constrains the maximum memory used by a +single query) + +#### Inherited from + +`StandardQueryBase.execute` + +*** + +### explainPlan() + +```ts +explainPlan(verbose): Promise +``` + +Generates an explanation of the query execution plan. + +#### Parameters + +* **verbose**: `boolean` = `false` + If true, provides a more detailed explanation. Defaults to false. + +#### Returns + +`Promise`<`string`> + +A Promise that resolves to a string containing the query execution plan explanation. + +#### Example + +```ts +import * as lancedb from "@lancedb/lancedb" +const db = await lancedb.connect("./.lancedb"); +const table = await db.createTable("my_table", [ + { vector: [1.1, 0.9], id: "1" }, +]); +const plan = await table.query().nearestTo([0.5, 0.2]).explainPlan(); +``` + +#### Inherited from + +`StandardQueryBase.explainPlan` + +*** + +### fastSearch() + +```ts +fastSearch(): this +``` + +Skip searching un-indexed data. This can make search faster, but will miss +any data that is not yet indexed. + +Use [Table#optimize](Table.md#optimize) to index all un-indexed data. + +#### Returns + +`this` + +#### Inherited from + +`StandardQueryBase.fastSearch` + +*** + +### ~~filter()~~ + +```ts +filter(predicate): this +``` + +A filter statement to be applied to this query. + +#### Parameters + +* **predicate**: `string` + +#### Returns + +`this` + +#### See + +where + +#### Deprecated + +Use `where` instead + +#### Inherited from + +`StandardQueryBase.filter` + +*** + +### fullTextSearch() + +```ts +fullTextSearch(query, options?): this +``` + +#### Parameters + +* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md) + +* **options?**: `Partial`<[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)> + +#### Returns + +`this` + +#### Inherited from + +`StandardQueryBase.fullTextSearch` + +*** + +### limit() + +```ts +limit(limit): this +``` + +Set the maximum number of results to return. + +By default, a plain search has no limit. If this method is not +called then every valid row from the table will be returned. + +#### Parameters + +* **limit**: `number` + +#### Returns + +`this` + +#### Inherited from + +`StandardQueryBase.limit` + +*** + +### offset() + +```ts +offset(offset): this +``` + +Set the number of rows to skip before returning results. + +This is useful for pagination. + +#### Parameters + +* **offset**: `number` + +#### Returns + +`this` + +#### Inherited from + +`StandardQueryBase.offset` + +*** + +### orderBy() + +```ts +orderBy(ordering): this +``` + +Sort the results by the specified column(s). + +#### Parameters + +* **ordering**: [`ColumnOrdering`](../interfaces/ColumnOrdering.md) \| [`ColumnOrdering`](../interfaces/ColumnOrdering.md)[] + +#### Returns + +`this` + +This query builder. + +#### Inherited from + +`StandardQueryBase.orderBy` + +*** + +### outputSchema() + +```ts +outputSchema(): Promise> +``` + +Returns the schema of the output that will be returned by this query. + +This can be used to inspect the types and names of the columns that will be +returned by the query before executing it. + +#### Returns + +`Promise`<`Schema`<`any`>> + +An Arrow Schema describing the output columns. + +#### Inherited from + +`StandardQueryBase.outputSchema` + +*** + +### select() + +```ts +select(columns): this +``` + +Return only the specified columns. + +By default a query will return all columns from the table. However, this can have +a very significant impact on latency. LanceDb stores data in a columnar fashion. This +means we can finely tune our I/O to select exactly the columns we need. + +As a best practice you should always limit queries to the columns that you need. If you +pass in an array of column names then only those columns will be returned. + +You can also use this method to create new "dynamic" columns based on your existing columns. +For example, you may not care about "a" or "b" but instead simply want "a + b". This is often +seen in the SELECT clause of an SQL query (e.g. `SELECT a+b FROM my_table`). + +To create dynamic columns you can pass in a Map. A column will be returned +for each entry in the map. The key provides the name of the column. The value is +an SQL string used to specify how the column is calculated. + +For example, an SQL query might state `SELECT a + b AS combined, c`. The equivalent +input to this method would be: + +#### Parameters + +* **columns**: `string` \| `string`[] \| `Record`<`string`, `string`> \| `Map`<`string`, `string`> + +#### Returns + +`this` + +#### Example + +```ts +new Map([["combined", "a + b"], ["c", "c"]]) + +Columns will always be returned in the order given, even if that order is different than +the order used when adding the data. + +Note that you can pass in a `Record` (e.g. an object literal). This method +uses `Object.entries` which should preserve the insertion order of the object. However, +object insertion order is easy to get wrong and `Map` is more foolproof. +``` + +#### Inherited from + +`StandardQueryBase.select` + +*** + +### toArray() + +```ts +toArray(options?): Promise +``` + +Collect the results as an array of objects. + +#### Parameters + +* **options?**: `Partial`<[`QueryExecutionOptions`](../interfaces/QueryExecutionOptions.md)> + +#### Returns + +`Promise`<`any`[]> + +#### Inherited from + +`StandardQueryBase.toArray` + +*** + +### toArrow() + +```ts +toArrow(options?): Promise> +``` + +Collect the results as an Arrow + +#### Parameters + +* **options?**: `Partial`<[`QueryExecutionOptions`](../interfaces/QueryExecutionOptions.md)> + +#### Returns + +`Promise`<`Table`<`any`>> + +#### See + +ArrowTable. + +#### Inherited from + +`StandardQueryBase.toArrow` + +*** + +### useLsm() + +```ts +useLsm(enable): this +``` + +Control MemWAL read routing for this query. + +By default (unset), when the table carries a MemWAL write spec (see +[Table#setLsmWriteSpec](Table.md#setlsmwritespec)), reads are routed through the LSM scanner so +they also return data written via the `mergeInsert` LSM path that has not yet +been compacted into the base table (the active/frozen in-memory memtables and +the flushed generations), deduplicated by primary key; a table without a spec +reads the base table. + +#### Parameters + +* **enable**: `boolean` + `true` forces the LSM scanner and errors if the table has no + MemWAL write spec. `false` bypasses the MemWAL and reads the base table only, + even when a spec is present. + Note: the LSM scanner does not support every query shape (e.g. reranking, + hybrid search, `orderBy`). On a MemWAL table those shapes error unless + `useLsm(false)` is set, because a base-only read would silently exclude + un-compacted MemWAL data. + +#### Returns + +`this` + +#### Inherited from + +`StandardQueryBase.useLsm` + +*** + +### where() + +```ts +where(predicate): this +``` + +A filter statement to be applied to this query. + +The filter should be supplied as an SQL query string. For example: + +#### Parameters + +* **predicate**: `string` + +#### Returns + +`this` + +#### Example + +```ts +x > 10 +y > 0 AND y < 100 +x > 5 OR y = 'test' + +Filtering performance can often be improved by creating a scalar index +on the filter column(s). + +Calling this multiple times combines the filters with a logical AND rather +than replacing the previous filter. +``` + +#### Inherited from + +`StandardQueryBase.where` + +*** + +### withRowId() + +```ts +withRowId(): this +``` + +Whether to return the row id in the results. + +This column can be used to match results between different queries. For +example, to match results from a full text search and a vector search in +order to perform hybrid search. + +#### Returns + +`this` + +#### Inherited from + +`StandardQueryBase.withRowId` diff --git a/docs/src/js/classes/Connection.md b/docs/src/js/classes/Connection.md index 92cfd2568..1c5abd89f 100644 --- a/docs/src/js/classes/Connection.md +++ b/docs/src/js/classes/Connection.md @@ -584,6 +584,70 @@ Child namespace names and *** +### listTables() + +#### listTables(options) + +```ts +abstract listTables(options?): Promise +``` + +List a page of the tables in this database. + +To retrieve the tables after the page, pass the `pageToken` the response +carries back in. A page can be shorter than `limit` without being the last +one, so walk until a response carries no page token: + +```ts +const names = []; +let pageToken = undefined; +do { + const page = await conn.listTables({ pageToken, limit: 100 }); + names.push(...page.tables); + pageToken = page.pageToken; +} while (pageToken); +``` + +##### Parameters + +* **options?**: `Partial`<[`ListTablesOptions`](../interfaces/ListTablesOptions.md)> + Pagination options + (`pageToken`, `limit`). + +##### Returns + +`Promise`<[`ListTablesResponse`](../interfaces/ListTablesResponse.md)> + +A page of table names and an + optional token for the tables after it. + +#### listTables(namespacePath, options) + +```ts +abstract listTables(namespacePath?, options?): Promise +``` + +List a page of the tables in this database. + +##### Parameters + +* **namespacePath?**: `string`[] + The namespace path to list tables from + (defaults to root namespace) + +* **options?**: `Partial`<[`ListTablesOptions`](../interfaces/ListTablesOptions.md)> + Pagination options + (`pageToken`, `limit`). + +##### Returns + +`Promise`<[`ListTablesResponse`](../interfaces/ListTablesResponse.md)> + +A page of table names and an + optional token for the tables after it. + +*** + ### openMaterializedView() ```ts @@ -660,7 +724,7 @@ a "not supported" error. *** -### tableNames() +### ~~tableNames()~~ #### tableNames(options) @@ -682,6 +746,10 @@ Tables will be returned in lexicographical order. `Promise`<`string`[]> +##### Deprecated + +Use [Connection.listTables](Connection.md#listtables) instead. + #### tableNames(namespacePath, options) ```ts @@ -704,3 +772,7 @@ Tables will be returned in lexicographical order. ##### Returns `Promise`<`string`[]> + +##### Deprecated + +Use [Connection.listTables](Connection.md#listtables) instead. diff --git a/docs/src/js/classes/Table.md b/docs/src/js/classes/Table.md index 06dc8479e..159348450 100644 --- a/docs/src/js/classes/Table.md +++ b/docs/src/js/classes/Table.md @@ -942,7 +942,7 @@ Get the schema of the table. abstract search( query, queryType?, - ftsColumns?): Query | VectorQuery + ftsColumns?): Query | VectorQuery | AutoQuery ``` Create a search query to find the nearest neighbors @@ -964,7 +964,7 @@ of the given query #### Returns -[`Query`](Query.md) \| [`VectorQuery`](VectorQuery.md) +[`Query`](Query.md) \| [`VectorQuery`](VectorQuery.md) \| [`AutoQuery`](AutoQuery.md) *** @@ -1292,6 +1292,18 @@ abstract updateFieldMetadata(updates): Promise Update per-field (column) metadata. +The following keys are treated specially, by convention, and should be +used when appropriate: + +- `lancedb:description`: for a human-readable description of a field. +- `lancedb:tag:`: for a user-defined key-value tag, where the suffix + names the tag category; e.g. `lancedb:tag:model: "clip"`. +- `lancedb:logical-column`: for a column grouping; e.g. `feature_v1` and + `feature_v2` might be in the same logical column. +- `lancedb:status`: for status options (`production`, `candidate`, + `deprecated`, `archived`) to designate the current life cycle state of + this column. + #### Parameters * **updates**: [`FieldMetadataUpdate`](../interfaces/FieldMetadataUpdate.md)[] diff --git a/docs/src/js/globals.md b/docs/src/js/globals.md index 6a8f644eb..beb9cbeff 100644 --- a/docs/src/js/globals.md +++ b/docs/src/js/globals.md @@ -18,6 +18,7 @@ ## Classes +- [AutoQuery](classes/AutoQuery.md) - [BooleanQuery](classes/BooleanQuery.md) - [BoostQuery](classes/BoostQuery.md) - [BranchContents](classes/BranchContents.md) @@ -100,6 +101,8 @@ - [JobInfo](interfaces/JobInfo.md) - [ListNamespacesOptions](interfaces/ListNamespacesOptions.md) - [ListNamespacesResponse](interfaces/ListNamespacesResponse.md) +- [ListTablesOptions](interfaces/ListTablesOptions.md) +- [ListTablesResponse](interfaces/ListTablesResponse.md) - [LsmStats](interfaces/LsmStats.md) - [LsmWriteSpec](interfaces/LsmWriteSpec.md) - [MaterializedViewDefinition](interfaces/MaterializedViewDefinition.md) diff --git a/docs/src/js/interfaces/FieldMetadataUpdate.md b/docs/src/js/interfaces/FieldMetadataUpdate.md index 38c675630..a85e3e7a0 100644 --- a/docs/src/js/interfaces/FieldMetadataUpdate.md +++ b/docs/src/js/interfaces/FieldMetadataUpdate.md @@ -17,7 +17,8 @@ metadata: Record; ``` Metadata key/value pairs. Merged into the field's existing metadata by -default; a value of `null` deletes that key. +default; a value of `null` deletes that key. See +[Table.updateFieldMetadata](../classes/Table.md#updatefieldmetadata) for the conventional `lancedb:*` keys. *** diff --git a/docs/src/js/interfaces/ListTablesOptions.md b/docs/src/js/interfaces/ListTablesOptions.md new file mode 100644 index 000000000..52ace47e5 --- /dev/null +++ b/docs/src/js/interfaces/ListTablesOptions.md @@ -0,0 +1,34 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / ListTablesOptions + +# Interface: ListTablesOptions + +## Properties + +### limit? + +```ts +optional limit: number; +``` + +An upper bound on how many tables to return. + +A page may hold fewer than this and still not be the last one, so keep +going while the response carries a page token rather than while pages are +full. + +*** + +### pageToken? + +```ts +optional pageToken: string; +``` + +Token from a previous response, to resume listing where it left off. + +The token is opaque: it carries whatever the database needs to resume, and +callers should not construct or interpret one. diff --git a/docs/src/js/interfaces/ListTablesResponse.md b/docs/src/js/interfaces/ListTablesResponse.md new file mode 100644 index 000000000..76cac2b23 --- /dev/null +++ b/docs/src/js/interfaces/ListTablesResponse.md @@ -0,0 +1,23 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / ListTablesResponse + +# Interface: ListTablesResponse + +## Properties + +### pageToken? + +```ts +optional pageToken: string; +``` + +*** + +### tables + +```ts +tables: string[]; +``` diff --git a/docs/src/js/interfaces/TableNamesOptions.md b/docs/src/js/interfaces/TableNamesOptions.md index 45fa3d1b0..9254e9fa7 100644 --- a/docs/src/js/interfaces/TableNamesOptions.md +++ b/docs/src/js/interfaces/TableNamesOptions.md @@ -4,11 +4,16 @@ [@lancedb/lancedb](../globals.md) / TableNamesOptions -# Interface: TableNamesOptions +# Interface: ~~TableNamesOptions~~ + +## Deprecated + +Use [ListTablesOptions](ListTablesOptions.md) with [Connection.listTables](../classes/Connection.md#listtables) +instead. ## Properties -### limit? +### ~~limit?~~ ```ts optional limit: number; @@ -18,7 +23,7 @@ An optional limit to the number of results to return. *** -### startAfter? +### ~~startAfter?~~ ```ts optional startAfter: string; diff --git a/docs/src/js/namespaces/embedding/functions/getRegistry.md b/docs/src/js/namespaces/embedding/functions/getRegistry.md index 331dbd60b..b149a4a88 100644 --- a/docs/src/js/namespaces/embedding/functions/getRegistry.md +++ b/docs/src/js/namespaces/embedding/functions/getRegistry.md @@ -10,16 +10,12 @@ function getRegistry(): EmbeddingFunctionRegistry ``` -Utility function to get the global instance of the registry +Get the global embedding function registry. + +LanceDB built-in providers are initialized when this public API is first +used, so importing the root package does not change automatic search +selection for tables without embedding metadata. ## Returns [`EmbeddingFunctionRegistry`](../classes/EmbeddingFunctionRegistry.md) - -`EmbeddingFunctionRegistry` The global instance of the registry - -## Example - -```ts -const registry = getRegistry(); -const openai = registry.get("openai").create(); diff --git a/docs/src/python/python.md b/docs/src/python/python.md index 34ec6bbd3..9f3a4c0e1 100644 --- a/docs/src/python/python.md +++ b/docs/src/python/python.md @@ -161,6 +161,8 @@ and combined with [BooleanQuery][lancedb.query.BooleanQuery]. ::: lancedb.query.FullTextOperator +::: lancedb.query.DocumentGranularity + ::: lancedb.query.Occur ## Embeddings @@ -263,6 +265,8 @@ instead of being materialized with the rest of the row. ::: lancedb.streaming.StreamingDataset +::: lancedb.streaming.StreamingDataLoader + ::: lancedb.permutation.permutation_builder ::: lancedb.permutation.PermutationBuilder diff --git a/java/lancedb-core/pom.xml b/java/lancedb-core/pom.xml index 9de14d1f9..c6acc7dfe 100644 --- a/java/lancedb-core/pom.xml +++ b/java/lancedb-core/pom.xml @@ -8,7 +8,7 @@ com.lancedb lancedb-parent - 0.38.0-beta.3 + 0.38.0-beta.11 ../pom.xml diff --git a/java/pom.xml b/java/pom.xml index 36ec01d9e..0b85b69df 100644 --- a/java/pom.xml +++ b/java/pom.xml @@ -6,7 +6,7 @@ com.lancedb lancedb-parent - 0.38.0-beta.3 + 0.38.0-beta.11 pom ${project.artifactId} LanceDB Java SDK Parent POM @@ -28,7 +28,7 @@ UTF-8 15.0.0 - 11.0.0-beta.19 + 12.0.0-beta.2 false 2.30.0 1.7 diff --git a/nodejs/Cargo.toml b/nodejs/Cargo.toml index cba7012d1..6496c6384 100644 --- a/nodejs/Cargo.toml +++ b/nodejs/Cargo.toml @@ -1,7 +1,7 @@ [package] name = "lancedb-nodejs" edition.workspace = true -version = "0.38.0-beta.3" +version = "0.38.0-beta.11" publish = false license.workspace = true description.workspace = true diff --git a/nodejs/__test__/arrow.test.ts b/nodejs/__test__/arrow.test.ts index 160f4d5ef..cb56cb5ae 100644 --- a/nodejs/__test__/arrow.test.ts +++ b/nodejs/__test__/arrow.test.ts @@ -6,6 +6,9 @@ import * as arrow17 from "apache-arrow-17"; import * as arrow18 from "apache-arrow-18"; import { + Field as CurrentField, + LargeBinary as CurrentLargeBinary, + Schema as CurrentSchema, Vector as CurrentVector, convertToTable, tableFromIPC as currentTableFromIPC, @@ -36,6 +39,24 @@ function sampleRecords(): Array> { }, ]; } + +it("preserves field metadata from a provided schema", async function () { + const jsonMetadata = new Map([["ARROW:extension:name", "lance.json"]]); + const schema = new CurrentSchema([ + new CurrentField("meta", new CurrentLargeBinary(), true, jsonMetadata), + ]); + + const table = makeArrowTable( + [{ meta: Buffer.from(JSON.stringify({ source: "test" })) }], + { schema }, + ); + + expect(table.schema.fields[0].metadata).toEqual(jsonMetadata); + + const roundTripped = currentTableFromIPC(await fromTableToBuffer(table)); + expect(roundTripped.schema.fields[0].metadata).toEqual(jsonMetadata); +}); + describe.each([arrow15, arrow16, arrow17, arrow18])( "Arrow", ( @@ -515,6 +536,137 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( ); }); + it("will allow matching inferred types across records", function () { + expect(() => + makeArrowTable([{ value: 1 }, { value: 2 }]), + ).not.toThrow(); + }); + + it("will reject mismatched inferred types across records", function () { + expect(() => makeArrowTable([{ value: 1 }, { value: "two" }])).toThrow( + "Failed to infer schema for data. Previously inferred type Float64 but found Utf8 for field value at row 1. Consider providing an explicit schema.", + ); + }); + + it("will ignore generated dictionary IDs when comparing inferred types", function () { + const table = makeArrowTable([{ str: "a" }, { str: "b" }], { + dictionaryEncodeStrings: true, + }); + + expect(table.getChild("str")?.toJSON()).toEqual(["a", "b"]); + }); + + it("will preserve null values without treating them as type mismatches", function () { + for (const records of [ + [{ vector: [1, 2, 3] }, { vector: null }], + [{ vector: null }, { vector: [1, 2, 3] }], + ]) { + const table = makeArrowTable(records); + + expect(table.numRows).toBe(2); + expect(table.getChild("vector")?.nullCount).toBe(1); + } + }); + + it("will preserve empty variable-size lists", function () { + for (const records of [ + [{ items: [1] }, { items: [] }], + [{ items: [] }, { items: [1] }], + ]) { + const table = makeArrowTable(records); + expect( + table + .getChild("items") + ?.toJSON() + .map((value) => value.toJSON()), + ).toEqual(records.map((record) => record.items)); + } + }); + + it("will propagate deferred evidence through nested lists", function () { + for (const records of [ + [{ items: [1] }, { items: [null] }], + [{ items: [null] }, { items: [1] }], + [{ items: [null, 1] }, { items: [2, null] }], + ]) { + const table = makeArrowTable(records); + expect( + table + .getChild("items") + ?.toJSON() + .map((value) => value.toJSON()), + ).toEqual(records.map((record) => record.items)); + } + + const nestedRecords = [{ items: [[1]] }, { items: [[null]] }]; + const nestedTable = makeArrowTable(nestedRecords); + expect( + nestedTable + .getChild("items") + ?.toJSON() + .map((value) => + value + .toJSON() + .map((nestedValue: { toJSON: () => unknown[] }) => + nestedValue.toJSON(), + ), + ), + ).toEqual(nestedRecords.map((record) => record.items)); + }); + + it("will reject incompatible deferred evidence within a list", function () { + for (const items of [ + [[], 1], + [1, []], + [[null], 1], + [1, [null]], + ]) { + expect(() => makeArrowTable([{ items }])).toThrow( + "Failed to infer data type for field items at row 0.", + ); + } + }); + + it("will reject empty fixed-size lists", function () { + expect(() => + makeArrowTable([{ vector: [1, 2, 3] }, { vector: [] }]), + ).toThrow( + "Failed to infer schema for data. Previously inferred type FixedSizeList[3] but found List[0] for field vector at row 1.", + ); + }); + + it("will reject inferred leaf and branch shape changes", function () { + expect(() => + makeArrowTable([{ value: 1 }, { value: { nested: 2 } }]), + ).toThrow( + "Failed to infer schema for data. Previously inferred type Float64 but found Struct for field value at row 1.", + ); + expect(() => + makeArrowTable([{ value: { nested: 1 } }, { value: 2 }]), + ).toThrow( + "Failed to infer schema for data. Previously inferred type Struct but found Float64 for field value at row 1.", + ); + }); + + it("will allow null values around inferred struct values", function () { + for (const { records, nullIndex } of [ + { + records: [{ value: null }, { value: { nested: 2 } }], + nullIndex: 0, + }, + { + records: [{ value: { nested: 1 } }, { value: null }], + nullIndex: 1, + }, + ]) { + const table = makeArrowTable(records); + const values = table.getChild("value"); + + expect(values?.nullCount).toBe(1); + expect(values?.get(nullIndex)).toBeNull(); + } + }); + it("will allow a schema to be provided", async function () { await checkTableCreation( async (records, _, schema) => diff --git a/nodejs/__test__/connection.test.ts b/nodejs/__test__/connection.test.ts index af471b478..816f8c3de 100644 --- a/nodejs/__test__/connection.test.ts +++ b/nodejs/__test__/connection.test.ts @@ -4,7 +4,13 @@ import { readdirSync } from "fs"; import { Field, Float64, Schema } from "apache-arrow"; import * as tmp from "tmp"; -import { Connection, Table, connect, connectNamespace } from "../lancedb"; +import { + Connection, + ListTablesResponse, + Table, + connect, + connectNamespace, +} from "../lancedb"; import { LocalTable } from "../lancedb/table"; describe("when connecting", () => { @@ -47,6 +53,7 @@ describe("given a connection", () => { await db.close(); expect(db.isOpen()).toBe(false); await expect(db.tableNames()).rejects.toThrow("Connection is closed"); + await expect(db.listTables()).rejects.toThrow("Connection is closed"); await expect(db.renameTable("a", "b")).rejects.toThrow( "Connection is closed", ); @@ -129,6 +136,66 @@ describe("given a connection", () => { expect(tables).toEqual(["b", "c"]); }); + it("should respect limit and page token when listing tables", async () => { + const db = await connect(tmpDir.name); + + await db.createTable("b", [{ id: 1 }]); + await db.createTable("a", [{ id: 1 }]); + await db.createTable("c", [{ id: 1 }]); + + const all = await db.listTables(); + expect(all.tables).toEqual(["a", "b", "c"]); + expect(all.pageToken).toBeUndefined(); + + const first = await db.listTables({ limit: 1 }); + expect(first.tables).toEqual(["a"]); + expect(first.pageToken).toBeDefined(); + + const second = await db.listTables({ + limit: 1, + pageToken: first.pageToken, + }); + expect(second.tables).toEqual(["b"]); + }); + + it("should visit every table exactly once when walking pages", async () => { + const db = await connect(tmpDir.name); + + const created = ["a", "b", "c", "d", "e"]; + for (const name of created) { + await db.createTable(name, [{ id: 1 }]); + } + + const seen: string[] = []; + let pageToken: string | undefined = undefined; + do { + const page: ListTablesResponse = await db.listTables({ + limit: 2, + pageToken, + }); + seen.push(...page.tables); + pageToken = page.pageToken; + } while (pageToken); + + expect(seen).toEqual(created); + }); + + it("should list tables in a namespace", async () => { + const db = await connect(tmpDir.name, { + // biome-ignore lint/style/useNamingConvention: opaque backend property key, must match Rust + namespaceClientProperties: { manifest_enabled: "true" }, + }); + await db.createNamespace(["child"]); + await db.createTable("nested", [{ id: 1 }], ["child"]); + + await expect(db.listTables(["child"])).resolves.toEqual( + expect.objectContaining({ tables: ["nested"] }), + ); + await expect(db.listTables()).resolves.toEqual( + expect.objectContaining({ tables: [] }), + ); + }); + it("should create tables in v2 mode", async () => { const db = await connect(tmpDir.name); const data = [...Array(10000).keys()].map((i) => ({ id: i })); diff --git a/nodejs/__test__/embedding.test.ts b/nodejs/__test__/embedding.test.ts index 2a8494e0f..45d171a3d 100644 --- a/nodejs/__test__/embedding.test.ts +++ b/nodejs/__test__/embedding.test.ts @@ -187,6 +187,58 @@ describe("embedding functions", () => { const vector0 = JSON.parse(JSON.stringify(arr[0].vector)); expect(vector0).toEqual([1, 2, 3]); }); + it("should append multiple Python embeddings with the same alias", async () => { + @register("python-mock") + // biome-ignore lint/correctness/noUnusedVariables: the decorator registers this class + class MockEmbeddingFunction extends EmbeddingFunction { + ndims() { + return 3; + } + embeddingDataType(): Float { + return new Float32(); + } + async computeQueryEmbeddings(_data: string) { + return [1, 2, 3]; + } + async computeSourceEmbeddings(data: string[]) { + return data.map((value) => + value === "hello world" ? [1, 2, 3] : [4, 5, 6], + ); + } + } + + const metadata = new Map([ + [ + "embedding_functions", + '[{"source_column":"text1","vector_column":"vector1","name":"python-mock","model":{}},{"source_column":"text2","vector_column":"vector2","name":"python-mock","model":{}}]', + ], + ]); + const schema = new Schema( + [ + new Field("text1", new Utf8(), true), + new Field("text2", new Utf8(), true), + new Field( + "vector1", + new FixedSizeList(3, new Field("item", new Float32(), true)), + true, + ), + new Field( + "vector2", + new FixedSizeList(3, new Field("item", new Float32(), true)), + true, + ), + ], + metadata, + ); + + const db = await connect(tmpDir.name); + const table = await db.createEmptyTable("test", schema); + await table.add([{ text1: "hello world", text2: "goodbye world" }]); + + const rows = await table.query().toArray(); + expect(JSON.parse(JSON.stringify(rows[0].vector1))).toEqual([1, 2, 3]); + expect(JSON.parse(JSON.stringify(rows[0].vector2))).toEqual([4, 5, 6]); + }); it("should append generated vectors to a non-nullable schema", async () => { @register("non_nullable_schema_test") diff --git a/nodejs/__test__/embedding_registry.test.ts b/nodejs/__test__/embedding_registry.test.ts new file mode 100644 index 000000000..83933399a --- /dev/null +++ b/nodejs/__test__/embedding_registry.test.ts @@ -0,0 +1,95 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +import { execFileSync } from "node:child_process"; +import { resolve } from "node:path"; + +import type { OpenAIEmbeddingFunction } from "../lancedb/embedding/openai"; +import type { EmbeddingFunctionRegistry } from "../lancedb/embedding/registry"; + +type EmbeddingModule = typeof import("../lancedb/embedding"); +type OpenAIModule = typeof import("../lancedb/embedding/openai"); +type RegistryModule = typeof import("../lancedb/embedding/registry"); + +describe("embedding function registry", () => { + const registries: EmbeddingFunctionRegistry[] = []; + + afterEach(() => { + for (const registry of registries) { + registry.reset(); + } + registries.length = 0; + }); + + it("defers built-in providers until the public registry API is used", () => { + jest.isolateModules(() => { + const embedding = require("../lancedb/embedding") as EmbeddingModule; + const { getRegistry: getInternalRegistry } = + require("../lancedb/embedding/registry") as RegistryModule; + const registry = getInternalRegistry(); + registries.push(registry); + + expect(registry.length()).toBe(0); + expect(embedding.getRegistry()).toBe(registry); + expect(registry.get("openai")).toBeDefined(); + expect(registry.get("huggingface")).toBeDefined(); + }); + }); + + it("preserves automatic FTS search in a fresh process", () => { + execFileSync( + process.execPath, + [resolve(__dirname, "fixtures", "auto_fts_search.cjs")], + { stdio: "pipe" }, + ); + }); + + it("shares registrations across duplicated provider module graphs", () => { + let registeringRegistry: EmbeddingFunctionRegistry | undefined; + let latestOpenAIConstructor: typeof OpenAIEmbeddingFunction | undefined; + + jest.isolateModules(() => { + require("../lancedb/embedding/openai"); + const { getRegistry } = + require("../lancedb/embedding/registry") as RegistryModule; + registeringRegistry = getRegistry(); + registries.push(registeringRegistry); + expect(registeringRegistry.get("openai")).toBeDefined(); + }); + + expect(() => { + jest.isolateModules(() => { + const { OpenAIEmbeddingFunction } = + require("../lancedb/embedding/openai") as OpenAIModule; + latestOpenAIConstructor = OpenAIEmbeddingFunction; + const { getRegistry } = + require("../lancedb/embedding/registry") as RegistryModule; + registries.push(getRegistry()); + }); + }).not.toThrow(); + + const previousApiKey = process.env.OPENAI_API_KEY; + process.env.OPENAI_API_KEY = "test"; + try { + const latestOpenAI = registeringRegistry! + .get("openai")! + .create(); + expect(latestOpenAI).toBeInstanceOf(latestOpenAIConstructor!); + } finally { + if (previousApiKey === undefined) { + delete process.env.OPENAI_API_KEY; + } else { + process.env.OPENAI_API_KEY = previousApiKey; + } + } + + jest.isolateModules(() => { + const { getRegistry } = + require("../lancedb/embedding") as EmbeddingModule; + const publicRegistry = getRegistry(); + registries.push(publicRegistry); + expect(publicRegistry).toBe(registeringRegistry); + expect(publicRegistry.get("openai")).toBeDefined(); + }); + }); +}); diff --git a/nodejs/__test__/fixtures/auto_fts_search.cjs b/nodejs/__test__/fixtures/auto_fts_search.cjs new file mode 100644 index 000000000..b5ab060b3 --- /dev/null +++ b/nodejs/__test__/fixtures/auto_fts_search.cjs @@ -0,0 +1,33 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +const assert = require("node:assert/strict"); +const tmp = require("tmp"); +const { connect, embedding, Index } = require("../../dist"); +const { getRegistry } = require("../../dist/embedding/registry"); + +async function main() { + assert.equal(typeof embedding.getRegistry, "function"); + assert.equal(getRegistry().length(), 0); + assert.equal(embedding.getRegistry(), getRegistry()); + assert.equal(getRegistry().length(), 2); + + const dir = tmp.dirSync({ unsafeCleanup: true }); + let db; + try { + db = await connect(dir.name); + const table = await db.createTable("docs", [{ text: "hello world" }]); + await table.createIndex("text", { config: Index.fts() }); + + const rows = await table.search("hello").toArray(); + assert.equal(rows[0].text, "hello world"); + } finally { + db?.close(); + dir.removeCallback(); + } +} + +main().catch((error) => { + console.error(error); + process.exitCode = 1; +}); diff --git a/nodejs/__test__/table.test.ts b/nodejs/__test__/table.test.ts index 0f6ed3615..554c7fcd3 100644 --- a/nodejs/__test__/table.test.ts +++ b/nodejs/__test__/table.test.ts @@ -11,10 +11,13 @@ import * as arrow17 from "apache-arrow-17"; import * as arrow18 from "apache-arrow-18"; import { + AutoQuery, Connection, MatchQuery, PhraseQuery, + Query, Table, + VectorQuery, connect, tokenize, } from "../lancedb"; @@ -682,6 +685,56 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( }, ); +// https://github.com/lancedb/lancedb/issues/1963 +it("should query documents with LangChain PDF metadata", async () => { + const tmpDir = tmp.dirSync({ unsafeCleanup: true }); + try { + const db = await connect(tmpDir.name); + const documents = [ + { + text: "first page", + vector: [1, 0], + source: "first.pdf", + loc: { pageNumber: 1, lines: { from: 1, to: 12 } }, + pdf: { + version: "1.10.100", + info: { + format: "PDF 1.7", + producer: "pdf.js", + creator: "Writer", + }, + totalPages: 2, + }, + }, + { + text: "second page", + vector: [0, 1], + source: "second.pdf", + loc: { pageNumber: 2, lines: { from: 13, to: 24 } }, + pdf: { + version: "1.10.100", + info: { + format: "PDF 1.7", + producer: "pdf.js", + creator: "Writer", + }, + totalPages: 2, + }, + }, + ]; + const documentsTable = await db.createTable("documents", documents); + + const results = await documentsTable.query().toArray(); + + expect(results).toHaveLength(2); + expect(results[0].source).toBe("first.pdf"); + expect(results[0].pdf.info.producer).toBe("pdf.js"); + expect(results[1].loc.pageNumber).toBe(2); + } finally { + tmpDir.removeCallback(); + } +}); + describe("merge insert", () => { let tmpDir: tmp.DirResult; let table: Table; @@ -1777,6 +1830,194 @@ describe("Read consistency interval", () => { }); }); +describe("automatic search schema consistency", () => { + let tmpDir: tmp.DirResult; + + class SchemaRefreshEmbedding extends EmbeddingFunction { + ndims() { + return 2; + } + + embeddingDataType() { + return new Float32(); + } + + async computeSourceEmbeddings(data: string[]) { + return data.map((value) => [value.length, 1]); + } + + async computeQueryEmbeddings(value: string) { + return [value.length, 1]; + } + } + + function embeddingSchema() { + const func = new SchemaRefreshEmbedding(); + return LanceSchema({ + text: func.sourceField(new Utf8()), + vector: func.vectorField(), + }); + } + + beforeEach(() => { + getRegistry().reset(); + register("schema-refresh")(SchemaRefreshEmbedding); + tmpDir = tmp.dirSync({ unsafeCleanup: true }); + }); + + afterEach(() => { + getRegistry().reset(); + tmpDir.removeCallback(); + }); + + it("uses the schema refreshed from another connection", async () => { + const first = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + const second = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + + try { + const stale = await first.createTable("docs", [{ text: "before" }], { + schema: embeddingSchema(), + }); + const replacement = await second.createTable( + "docs", + [{ text: "after hello" }], + { mode: "overwrite" }, + ); + await replacement.createIndex("text", { config: Index.fts() }); + + const search = stale.search("hello"); + expect(search).toBeInstanceOf(AutoQuery); + expect(search).not.toBeInstanceOf(Query); + expect(search).not.toBeInstanceOf(VectorQuery); + expect("nprobes" in search).toBe(false); + + const rows = await search.toArray(); + expect(rows[0].text).toBe("after hello"); + expect((await stale.schema()).metadata.has("embedding_functions")).toBe( + false, + ); + } finally { + first.close(); + second.close(); + } + }); + + it("tracks embedding metadata across checkout and restore", async () => { + const first = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + const second = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + + try { + await first.createTable("docs", [{ text: "before" }], { + schema: embeddingSchema(), + }); + const table = await second.createTable( + "docs", + [{ text: "after hello" }], + { mode: "overwrite" }, + ); + await table.createIndex("text", { config: Index.fts() }); + + await table.checkout(1); + expect((await table.search("before").toArray())[0].text).toBe("before"); + + await table.checkoutLatest(); + expect((await table.search("hello").toArray())[0].text).toBe( + "after hello", + ); + + await table.checkout(1); + await table.restore(); + expect((await table.search("before").toArray())[0].text).toBe("before"); + } finally { + first.close(); + second.close(); + } + }); + + it("pins automatic search while computing an embedding", async () => { + let markStarted!: () => void; + let releaseEmbedding!: () => void; + const started = new Promise((resolve) => { + markStarted = resolve; + }); + const released = new Promise((resolve) => { + releaseEmbedding = resolve; + }); + + class BlockingEmbedding extends SchemaRefreshEmbedding { + async computeQueryEmbeddings(value: string) { + markStarted(); + await released; + return [value.length, 1]; + } + } + + register("schema-refresh-blocking")(BlockingEmbedding); + const func = new BlockingEmbedding(); + const schema = LanceSchema({ + text: func.sourceField(new Utf8()), + vector: func.vectorField(), + }); + const first = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + const second = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + + try { + const table = await first.createTable( + "docs", + [{ text: "hello before" }], + { schema }, + ); + const pending = table.search("hello").toArray(); + await started; + + const replacement = await second.createTable( + "docs", + [{ text: "hello after" }], + { mode: "overwrite" }, + ); + await replacement.createIndex("text", { config: Index.fts() }); + releaseEmbedding(); + + expect((await pending)[0].text).toBe("hello before"); + } finally { + releaseEmbedding(); + first.close(); + second.close(); + } + }); + + it("refreshes a reused automatic search for every execution", async () => { + const first = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + const second = await connect(tmpDir.name, { readConsistencyInterval: 0 }); + + try { + const table = await first.createTable("docs", [ + { text: "hello before", marker: "before" }, + ]); + await table.createIndex("text", { config: Index.fts() }); + const search = table.search("hello").select(["text"]); + + const before = (await search.toArray())[0]; + expect(before.text).toBe("hello before"); + expect(before.marker).toBeUndefined(); + + const replacement = await second.createTable( + "docs", + [{ text: "hello after", marker: "after" }], + { mode: "overwrite" }, + ); + await replacement.createIndex("text", { config: Index.fts() }); + + const after = (await search.toArray())[0]; + expect(after.text).toBe("hello after"); + expect(after.marker).toBeUndefined(); + } finally { + first.close(); + second.close(); + } + }); +}); + describe("schema evolution", function () { let tmpDir: tmp.DirResult; beforeEach(() => { @@ -2344,7 +2585,24 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( ); }); - test("full text search if no embedding function provided", async () => { + test("full text search if only an unrelated embedding function is registered", async () => { + register("unused")( + class extends EmbeddingFunction { + ndims() { + return 3; + } + embeddingDataType() { + return new Float32(); + } + async computeQueryEmbeddings(_data: string) { + return [1, 2, 3]; + } + async computeSourceEmbeddings(data: string[]) { + return data.map(() => [1, 2, 3]); + } + }, + ); + const db = await connect(tmpDir.name); const data = [ { text: "hello world", vector: [0.1, 0.2, 0.3] }, @@ -2366,6 +2624,306 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( expect(results2[0].text).toBe(data[1].text); }); + test("auto search stays consistent with the active revision", async () => { + let initCalls = 0; + let queryCalls = 0; + let markStarted!: () => void; + const started = new Promise((resolve) => { + markStarted = resolve; + }); + let releaseEmbedding!: () => void; + const embeddingReleased = new Promise((resolve) => { + releaseEmbedding = resolve; + }); + + @register("refresh-test") + class TestEmbedding extends EmbeddingFunction { + async init() { + initCalls += 1; + } + ndims() { + return 1; + } + embeddingDataType() { + return new arrow.Float32(); + } + async computeQueryEmbeddings(value: string) { + queryCalls += 1; + if (value === "blocked") { + markStarted(); + await embeddingReleased; + } + return value === "greetings" ? [0.1] : [0.2]; + } + async computeSourceEmbeddings(values: string[]) { + return values.map((value) => + value === "hello world" ? [0.1] : [0.2], + ); + } + } + + const writer = await connect(tmpDir.name); + await writer.createTable("test", [{ text: "plain", vector: [0.0] }]); + const reader = await connect(tmpDir.name, { + readConsistencyInterval: 0, + }); + const tracked = await reader.openTable("test"); + type SnapshotCountingNative = { + querySnapshot: () => Promise; + }; + const native = (tracked as unknown as { inner: SnapshotCountingNative }) + .inner; + const querySnapshot = native.querySnapshot.bind(native); + let snapshotCalls = 0; + native.querySnapshot = async () => { + snapshotCalls += 1; + return await querySnapshot(); + }; + const autoQuery = tracked.search("greetings").select(["text"]).limit(1); + + const func = new TestEmbedding(); + const schema = LanceSchema({ + text: func.sourceField(new arrow.Utf8()), + vector: func.vectorField(), + }); + const data = [{ text: "hello world" }, { text: "goodbye world" }]; + await writer.createTable("test", data, { mode: "overwrite", schema }); + const baselineInitCalls = initCalls; + + expect( + (await tracked.schema()).metadata.get("embedding_functions"), + ).toBeDefined(); + const results = await autoQuery.toArray(); + expect(results[0].text).toBe(data[0].text); + expect(initCalls).toBe(baselineInitCalls + 1); + expect(queryCalls).toBe(1); + expect(snapshotCalls).toBe(1); + + const repeatedResults = await autoQuery.toArray(); + expect(repeatedResults[0].text).toBe(data[0].text); + expect(initCalls).toBe(baselineInitCalls + 1); + expect(queryCalls).toBe(1); + expect(snapshotCalls).toBe(2); + + const pending = tracked + .search("blocked") + .select(["text"]) + .limit(1) + .toArray(); + await started; + + const ftsData = [ + { text: "greetings from full text", vector: [0.0] }, + { text: "blocked from full text", vector: [0.0] }, + ]; + const ftsTable = await writer.createTable("test", ftsData, { + mode: "overwrite", + }); + await ftsTable.createIndex("text", { config: Index.fts() }); + releaseEmbedding(); + + const pendingResults = await pending; + expect(pendingResults[0].text).toBe(data[1].text); + + expect( + (await tracked.schema()).metadata.get("embedding_functions"), + ).toBeUndefined(); + const ftsResults = await autoQuery.toArray(); + expect(ftsResults[0].text).toBe(ftsData[0].text); + }); + + test("auto search keeps newer preparation during a revision race", async () => { + let aCalls = 0; + let bCalls = 0; + let markAStarted!: () => void; + const aStarted = new Promise((resolve) => { + markAStarted = resolve; + }); + let releaseA!: () => void; + const aReleased = new Promise((resolve) => { + releaseA = resolve; + }); + let markBStarted!: () => void; + const bStarted = new Promise((resolve) => { + markBStarted = resolve; + }); + let releaseB!: () => void; + const bReleased = new Promise((resolve) => { + releaseB = resolve; + }); + + @register("race-a") + class EmbeddingA extends EmbeddingFunction { + ndims() { + return 1; + } + embeddingDataType() { + return new arrow.Float32(); + } + async computeQueryEmbeddings() { + aCalls += 1; + markAStarted(); + await aReleased; + return [0.1]; + } + async computeSourceEmbeddings(values: string[]) { + return values.map(() => [0.1]); + } + } + + @register("race-b") + class EmbeddingB extends EmbeddingFunction { + ndims() { + return 1; + } + embeddingDataType() { + return new arrow.Float32(); + } + async computeQueryEmbeddings() { + bCalls += 1; + markBStarted(); + await bReleased; + return [0.2]; + } + async computeSourceEmbeddings(values: string[]) { + return values.map(() => [0.2]); + } + } + + const writer = await connect(tmpDir.name); + const embeddingA = new EmbeddingA(); + const schemaA = LanceSchema({ + text: embeddingA.sourceField(new arrow.Utf8()), + vector: embeddingA.vectorField(), + }); + await writer.createTable("race", [{ text: "revision a" }], { + schema: schemaA, + }); + const reader = await connect(tmpDir.name, { + readConsistencyInterval: 0, + }); + const tracked = await reader.openTable("race"); + const query = tracked.search("query"); + + const first = query.toArray(); + await aStarted; + + const embeddingB = new EmbeddingB(); + const schemaB = LanceSchema({ + text: embeddingB.sourceField(new arrow.Utf8()), + vector: embeddingB.vectorField(), + }); + await writer.createTable("race", [{ text: "revision b" }], { + mode: "overwrite", + schema: schemaB, + }); + const second = query.toArray(); + await bStarted; + + releaseA(); + releaseB(); + await Promise.all([first, second]); + expect(aCalls).toBe(1); + expect(bCalls).toBe(1); + }); + + test("stale FTS routing keeps newer vector preparation", async () => { + let vectorCalls = 0; + let markVectorStarted!: () => void; + const vectorStarted = new Promise((resolve) => { + markVectorStarted = resolve; + }); + let releaseVector!: () => void; + const vectorReleased = new Promise((resolve) => { + releaseVector = resolve; + }); + + @register("stale-fts-race") + class RaceEmbedding extends EmbeddingFunction { + ndims() { + return 1; + } + embeddingDataType() { + return new arrow.Float32(); + } + async computeQueryEmbeddings() { + vectorCalls += 1; + markVectorStarted(); + await vectorReleased; + return [0.1]; + } + async computeSourceEmbeddings(values: string[]) { + return values.map(() => [0.1]); + } + } + + const writer = await connect(tmpDir.name); + const ftsTable = await writer.createTable("stale_fts", [ + { text: "hello", vector: [0.0] }, + ]); + await ftsTable.createIndex("text", { config: Index.fts() }); + + const reader = await connect(tmpDir.name, { + readConsistencyInterval: 0, + }); + const tracked = await reader.openTable("stale_fts"); + type Snapshot = { + schema: () => Promise; + }; + type NativeWithSnapshot = { + querySnapshot: () => Promise; + }; + const native = (tracked as unknown as { inner: NativeWithSnapshot }) + .inner; + const querySnapshot = native.querySnapshot.bind(native); + let snapshotCalls = 0; + let markStaleSchemaStarted!: () => void; + const staleSchemaStarted = new Promise((resolve) => { + markStaleSchemaStarted = resolve; + }); + let releaseStaleSchema!: () => void; + const staleSchemaReleased = new Promise((resolve) => { + releaseStaleSchema = resolve; + }); + native.querySnapshot = async () => { + const snapshot = await querySnapshot(); + snapshotCalls += 1; + if (snapshotCalls === 1) { + const schema = snapshot.schema.bind(snapshot); + snapshot.schema = async () => { + markStaleSchemaStarted(); + await staleSchemaReleased; + return await schema(); + }; + } + return snapshot; + }; + + const query = tracked.search("hello"); + const staleFtsExecution = query.toArray(); + await staleSchemaStarted; + + const embedding = new RaceEmbedding(); + const vectorSchema = LanceSchema({ + text: embedding.sourceField(new arrow.Utf8()), + vector: embedding.vectorField(), + }); + await writer.createTable("stale_fts", [{ text: "hello" }], { + mode: "overwrite", + schema: vectorSchema, + }); + + const vectorExecution = query.toArray(); + await vectorStarted; + releaseStaleSchema(); + await staleFtsExecution; + releaseVector(); + await vectorExecution; + + await query.toArray(); + expect(vectorCalls).toBe(1); + }); + test("tokenizes FTS queries by column or index name", async () => { const db = await connect(tmpDir.name); const data = [ @@ -2916,6 +3474,30 @@ describe("column name options", () => { expect(results[1].query_index).toBe(1); }); + test("observes promised additional vectors while the query is pending", async () => { + const initialVector = new Promise(() => undefined); + const query = table.query().nearestTo(initialVector); + const unhandled: unknown[] = []; + const onUnhandled = (reason: unknown) => unhandled.push(reason); + process.on("unhandledRejection", onUnhandled); + + try { + query.addQueryVector(Promise.reject(new Error("extra vector failed"))); + await new Promise((resolve) => setImmediate(resolve)); + expect(unhandled).toEqual([]); + + const rejectedQuery = table + .query() + .nearestTo([0.1, 0.2]) + .addQueryVector(Promise.reject(new Error("consumed vector failed"))); + await expect(rejectedQuery.toArray()).rejects.toThrow( + "consumed vector failed", + ); + } finally { + process.off("unhandledRejection", onUnhandled); + } + }); + test("index and search multivectors", async () => { const db = await connect(tmpDir.name); const data = []; @@ -2979,6 +3561,27 @@ describe("when creating an empty table", () => { expect((actualSchema.fields[1].type as Float64).precision).toBe(2); }); + it("can add and query JSON data", async () => { + const schema = new Schema([ + new Field("id", new Int32(), true), + new Field( + "meta", + new Utf8(), + true, + new Map([["ARROW:extension:name", "arrow.json"]]), + ), + ]); + const table = await con.createEmptyTable("json", schema); + const meta = JSON.stringify({ x: 1 }); + + await table.add([{ id: 1, meta }]); + + const rows = await table.query().toArray(); + expect(rows).toHaveLength(1); + expect(rows[0].id).toBe(1); + expect(rows[0].meta).toBe(meta); + }); + it("can create an empty table from schema that specifies field types by name", async () => { const schemaLike = { fields: [ diff --git a/nodejs/examples/basic.test.ts b/nodejs/examples/basic.test.ts index b56bb2f95..e45fd622a 100644 --- a/nodejs/examples/basic.test.ts +++ b/nodejs/examples/basic.test.ts @@ -170,7 +170,7 @@ test("basic table examples", async () => { // --8<-- [end:create_index] // --8<-- [start:delete_rows] - await tbl.delete('item = "fizz"'); + await tbl.delete("item = 'fizz'"); // --8<-- [end:delete_rows] // --8<-- [start:drop_table] diff --git a/nodejs/lancedb/arrow.ts b/nodejs/lancedb/arrow.ts index 8b388d593..b52ab50ef 100644 --- a/nodejs/lancedb/arrow.ts +++ b/nodejs/lancedb/arrow.ts @@ -5,7 +5,6 @@ import { Data as ArrowData, Table as ArrowTable, Binary, - Bool, BufferType, DataType, DateUnit, @@ -18,12 +17,7 @@ import { FixedSizeList, Float, Float32, - Float64, Int, - Int8, - Int16, - Int32, - Int64, LargeBinary, List, Null, @@ -36,17 +30,16 @@ import { Struct, Timestamp, Type, - Uint8, - Uint16, - Uint32, Utf8, Vector, makeVector as arrowMakeVector, + util as arrowUtil, vectorFromArray as badVectorFromArray, makeBuilder, makeData, } from "apache-arrow"; import { Buffers } from "apache-arrow/data"; +import { typedArrayToArrowType } from "./arrow_type"; import { type EmbeddingFunction } from "./embedding/embedding_function"; import { EmbeddingFunctionConfig, @@ -59,14 +52,7 @@ import { sanitizeTable, sanitizeType, } from "./sanitize"; - -/** - * Check if a field name indicates a vector column. - */ -function nameSuggestsVectorColumn(fieldName: string): boolean { - const nameLower = fieldName.toLowerCase(); - return nameLower.includes("vector") || nameLower.includes("embedding"); -} +import { inferSchema } from "./schema"; export * from "apache-arrow"; export type SchemaLike = @@ -459,110 +445,6 @@ export function makeArrowTable( return new ArrowTable(inferredSchema, finalColumns); } -function inferSchema( - data: Array>, - schema: Schema | undefined, - opts: MakeArrowTableOptions, -): Schema { - // We will collect all fields we see in the data. - const pathTree = new PathTree(); - - for (const [rowI, row] of data.entries()) { - for (const [path, value] of rowPathsAndValues(row)) { - if (!pathTree.has(path)) { - // First time seeing this field. - if (schema !== undefined) { - const field = getFieldForPath(schema, path); - if (field === undefined) { - throw new Error( - `Found field not in schema: ${path.join(".")} at row ${rowI}`, - ); - } else { - pathTree.set(path, field.type); - } - } else { - const inferredType = inferType(value, path, opts); - if (inferredType === undefined) { - throw new Error(`Failed to infer data type for field ${path.join( - ".", - )} at row ${rowI}. \ - Consider providing an explicit schema.`); - } - pathTree.set(path, inferredType); - } - } else if (schema === undefined) { - const currentType = pathTree.get(path); - const newType = inferType(value, path, opts); - if (currentType !== newType) { - new Error(`Failed to infer schema for data. Previously inferred type \ - ${currentType} but found ${newType} at row ${rowI}. Consider \ - providing an explicit schema.`); - } - } - } - } - - if (schema === undefined) { - function fieldsFromPathTree(pathTree: PathTree): Field[] { - const fields = []; - for (const [name, value] of pathTree.map.entries()) { - if (value instanceof PathTree) { - const children = fieldsFromPathTree(value); - fields.push(new Field(name, new Struct(children), true)); - } else { - fields.push(new Field(name, value, true)); - } - } - return fields; - } - const fields = fieldsFromPathTree(pathTree); - return new Schema(fields); - } else { - function takeMatchingFields( - fields: Field[], - pathTree: PathTree, - ): Field[] { - const outFields = []; - for (const field of fields) { - if (pathTree.map.has(field.name)) { - const value = pathTree.get([field.name]); - if (value instanceof PathTree) { - const struct = field.type as Struct; - const children = takeMatchingFields(struct.children, value); - outFields.push( - new Field(field.name, new Struct(children), field.nullable), - ); - } else { - outFields.push( - new Field(field.name, value as DataType, field.nullable), - ); - } - } - } - return outFields; - } - const fields = takeMatchingFields(schema.fields, pathTree); - return new Schema(fields); - } -} - -function* rowPathsAndValues( - row: Record, - basePath: string[] = [], -): Generator<[string[], unknown]> { - for (const [key, value] of Object.entries(row)) { - if (isObject(value)) { - yield* rowPathsAndValues(value, [...basePath, key]); - } else { - // Skip undefined values - they should be treated the same as missing fields - // for embedding function purposes - if (value !== undefined) { - yield [[...basePath, key], value]; - } - } - } -} - function isObject(value: unknown): value is Record { return ( typeof value === "object" && @@ -577,146 +459,19 @@ function isObject(value: unknown): value is Record { ); } -function getFieldForPath(schema: Schema, path: string[]): Field | undefined { - let current: Field | Schema = schema; +function valueAtPath(datum: Record, path: string[]): unknown { + let current: unknown = datum; for (const key of path) { - if (current instanceof Schema) { - const field: Field | undefined = current.fields.find( - (f) => f.name === key, - ); - if (field === undefined) { - return undefined; - } - current = field; - } else if (current instanceof Field && DataType.isStruct(current.type)) { - const struct: Struct = current.type; - const field = struct.children.find((f) => f.name === key); - if (field === undefined) { - return undefined; - } - current = field; + if (current == null) { + return null; + } + if (isObject(current) && (Object.hasOwn(current, key) || key in current)) { + current = current[key]; } else { return undefined; } } - if (current instanceof Field) { - return current; - } else { - return undefined; - } -} - -/** - * Try to infer which Arrow type to use for a given value. - * - * May return undefined if the type cannot be inferred. - */ -function inferType( - value: unknown, - path: string[], - opts: MakeArrowTableOptions, -): DataType | undefined { - if (typeof value === "bigint") { - return new Int64(); - } else if (typeof value === "number") { - // Even if it's an integer, it's safer to assume Float64. Users can - // always provide an explicit schema or use BigInt if they mean integer. - return new Float64(); - } else if (typeof value === "string") { - if (opts.dictionaryEncodeStrings) { - return new Dictionary(new Utf8(), new Int32()); - } else { - return new Utf8(); - } - } else if (typeof value === "boolean") { - return new Bool(); - } else if (value instanceof Buffer) { - return new Binary(); - } else if (ArrayBuffer.isView(value) && !(value instanceof DataView)) { - const info = typedArrayToArrowType(value); - if (info !== undefined) { - const child = new Field("item", info.elementType, true); - return new FixedSizeList(info.length, child); - } - return undefined; - } else if (Array.isArray(value)) { - if (value.length === 0) { - return undefined; // Without any values we can't infer the type - } - if (path.length === 1 && Object.hasOwn(opts.vectorColumns, path[0])) { - const floatType = sanitizeType(opts.vectorColumns[path[0]].type); - return new FixedSizeList( - value.length, - new Field("item", floatType, true), - ); - } - const valueType = inferType(value[0], path, opts); - if (valueType === undefined) { - return undefined; - } - // Try to automatically detect embedding columns. - if (nameSuggestsVectorColumn(path[path.length - 1])) { - // Check if value is a Uint8Array for integer vector type determination - if (value instanceof Uint8Array) { - // For integer vectors, we default to Uint8 (matching Python implementation) - const child = new Field("item", new Uint8(), true); - return new FixedSizeList(value.length, child); - } else { - // For float vectors, we default to Float32 - const child = new Field("item", new Float32(), true); - return new FixedSizeList(value.length, child); - } - } else { - const child = new Field("item", valueType, true); - return new List(child); - } - } else { - // TODO: timestamp - return undefined; - } -} - -class PathTree { - map: Map>; - - constructor(entries?: [string[], V][]) { - this.map = new Map(); - if (entries !== undefined) { - for (const [path, value] of entries) { - this.set(path, value); - } - } - } - has(path: string[]): boolean { - let ref: PathTree = this; - for (const part of path) { - if (!(ref instanceof PathTree) || !ref.map.has(part)) { - return false; - } - ref = ref.map.get(part) as PathTree; - } - return true; - } - get(path: string[]): V | undefined { - let ref: PathTree = this; - for (const part of path) { - if (!(ref instanceof PathTree) || !ref.map.has(part)) { - return undefined; - } - ref = ref.map.get(part) as PathTree; - } - return ref as V; - } - set(path: string[], value: V): void { - let ref: PathTree = this; - for (const part of path.slice(0, path.length - 1)) { - if (!ref.map.has(part)) { - ref.map.set(part, new PathTree()); - } - ref = ref.map.get(part) as PathTree; - } - ref.map.set(path[path.length - 1], value); - } + return current; } function transposeData( @@ -724,37 +479,26 @@ function transposeData( field: Field, path: string[] = [], ): Vector { + const valuesPath = [...path, field.name]; + const values = data.map((datum) => valueAtPath(datum, valuesPath)); if (field.type instanceof Struct) { const childFields = field.type.children; - const fullPath = [...path, field.name]; const childVectors = childFields.map((child) => { - return transposeData(data, child, fullPath); + return transposeData(data, child, valuesPath); }); + const nullCount = values.filter((value) => value === null).length; const structData = makeData({ type: field.type, + length: values.length, + nullCount, + nullBitmap: + nullCount > 0 + ? arrowUtil.packBools(values.map((value) => value !== null)) + : undefined, children: childVectors as unknown as ArrowData[], }); return arrowMakeVector(structData); } else { - const valuesPath = [...path, field.name]; - const values = data.map((datum) => { - let current: unknown = datum; - for (const key of valuesPath) { - if (current == null) { - return null; - } - - if ( - isObject(current) && - (Object.hasOwn(current, key) || key in current) - ) { - current = current[key]; - } else { - return null; - } - } - return current; - }); return makeVector(values, field.type, undefined, field.nullable); } } @@ -797,32 +541,6 @@ function makeListVector(lists: unknown[][]): Vector { return listBuilder.finish().toVector(); } -/** - * Map a JS TypedArray instance to the corresponding Arrow element DataType - * and its length. Returns undefined if the value is not a recognized TypedArray. - */ -function typedArrayToArrowType( - value: ArrayBufferView, -): { elementType: DataType; length: number } | undefined { - if (value instanceof Float32Array) - return { elementType: new Float32(), length: value.length }; - if (value instanceof Float64Array) - return { elementType: new Float64(), length: value.length }; - if (value instanceof Uint8Array) - return { elementType: new Uint8(), length: value.length }; - if (value instanceof Uint16Array) - return { elementType: new Uint16(), length: value.length }; - if (value instanceof Uint32Array) - return { elementType: new Uint32(), length: value.length }; - if (value instanceof Int8Array) - return { elementType: new Int8(), length: value.length }; - if (value instanceof Int16Array) - return { elementType: new Int16(), length: value.length }; - if (value instanceof Int32Array) - return { elementType: new Int32(), length: value.length }; - return undefined; -} - /** Helper function to convert an Array of JS values to an Arrow Vector */ function makeVector( values: unknown[], @@ -1462,8 +1180,12 @@ export function ensureNestedFieldsExist( completeRow[field.name] = row[field.name]; } } else { - // Field is missing from the data - set to null - completeRow[field.name] = null; + // Keep a missing struct valid while filling each of its children with + // null. This is distinct from an explicitly null struct value. + completeRow[field.name] = + field.type.constructor.name === "Struct" + ? ensureStructFieldsExist({}, field.type as Struct) + : null; } } @@ -1498,8 +1220,12 @@ function ensureStructFieldsExist( completeStruct[childField.name] = data[childField.name]; } } else { - // Field is missing - set to null - completeStruct[childField.name] = null; + // Keep a missing struct valid while filling each of its children with + // null. This is distinct from an explicitly null struct value. + completeStruct[childField.name] = + childField.type.constructor.name === "Struct" + ? ensureStructFieldsExist({}, childField.type as Struct) + : null; } } diff --git a/nodejs/lancedb/arrow_type.ts b/nodejs/lancedb/arrow_type.ts new file mode 100644 index 000000000..35da346ef --- /dev/null +++ b/nodejs/lancedb/arrow_type.ts @@ -0,0 +1,40 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +import { + type DataType, + Float32, + Float64, + Int8, + Int16, + Int32, + Uint8, + Uint16, + Uint32, +} from "apache-arrow"; + +/** + * Map a JS TypedArray instance to the corresponding Arrow element type and + * length. Returns undefined when the view is not a supported TypedArray. + */ +export function typedArrayToArrowType( + value: ArrayBufferView, +): { elementType: DataType; length: number } | undefined { + if (value instanceof Float32Array) + return { elementType: new Float32(), length: value.length }; + if (value instanceof Float64Array) + return { elementType: new Float64(), length: value.length }; + if (value instanceof Uint8Array) + return { elementType: new Uint8(), length: value.length }; + if (value instanceof Uint16Array) + return { elementType: new Uint16(), length: value.length }; + if (value instanceof Uint32Array) + return { elementType: new Uint32(), length: value.length }; + if (value instanceof Int8Array) + return { elementType: new Int8(), length: value.length }; + if (value instanceof Int16Array) + return { elementType: new Int16(), length: value.length }; + if (value instanceof Int32Array) + return { elementType: new Int32(), length: value.length }; + return undefined; +} diff --git a/nodejs/lancedb/connection.ts b/nodejs/lancedb/connection.ts index e5528f8c6..263a338ab 100644 --- a/nodejs/lancedb/connection.ts +++ b/nodejs/lancedb/connection.ts @@ -31,12 +31,14 @@ import type { JobDescription, JobInfo, ListNamespacesResponse, + ListTablesResponse, } from "./native"; export type { CreateNamespaceResponse, DescribeNamespaceResponse, DropNamespaceResponse, ListNamespacesResponse, + ListTablesResponse, }; import { sanitizeTable } from "./sanitize"; import { LocalTable, Table } from "./table"; @@ -134,6 +136,10 @@ export interface OpenTableOptions { indexCacheSize?: number; } +/** + * @deprecated Use {@link ListTablesOptions} with {@link Connection.listTables} + * instead. + */ export interface TableNamesOptions { /** * If present, only return names that come lexicographically after the @@ -147,6 +153,24 @@ export interface TableNamesOptions { limit?: number; } +export interface ListTablesOptions { + /** + * Token from a previous response, to resume listing where it left off. + * + * The token is opaque: it carries whatever the database needs to resume, and + * callers should not construct or interpret one. + */ + pageToken?: string; + /** + * An upper bound on how many tables to return. + * + * A page may hold fewer than this and still not be the last one, so keep + * going while the response carries a page token rather than while pages are + * full. + */ + limit?: number; +} + export interface ListNamespacesOptions { /** Token from a previous response for pagination. */ pageToken?: string; @@ -231,6 +255,7 @@ export abstract class Connection { * @param {Partial} options - options to control the * paging / start point (backwards compatibility) * + * @deprecated Use {@link Connection.listTables} instead. */ abstract tableNames(options?: Partial): Promise; /** @@ -241,12 +266,53 @@ export abstract class Connection { * @param {Partial} options - options to control the * paging / start point * + * @deprecated Use {@link Connection.listTables} instead. */ abstract tableNames( namespacePath?: string[], options?: Partial, ): Promise; + /** + * List a page of the tables in this database. + * + * To retrieve the tables after the page, pass the `pageToken` the response + * carries back in. A page can be shorter than `limit` without being the last + * one, so walk until a response carries no page token: + * + * ```ts + * const names = []; + * let pageToken = undefined; + * do { + * const page = await conn.listTables({ pageToken, limit: 100 }); + * names.push(...page.tables); + * pageToken = page.pageToken; + * } while (pageToken); + * ``` + * + * @param {Partial} options - Pagination options + * (`pageToken`, `limit`). + * @returns {Promise} A page of table names and an + * optional token for the tables after it. + */ + abstract listTables( + options?: Partial, + ): Promise; + /** + * List a page of the tables in this database. + * + * @param {string[]} namespacePath - The namespace path to list tables from + * (defaults to root namespace) + * @param {Partial} options - Pagination options + * (`pageToken`, `limit`). + * @returns {Promise} A page of table names and an + * optional token for the tables after it. + */ + abstract listTables( + namespacePath?: string[], + options?: Partial, + ): Promise; + /** * Open a table in the database. * @param {string} name - The name of the table @@ -601,6 +667,25 @@ export class LocalConnection extends Connection { return await this.inner.listMaterializedViews(); } + async listTables( + namespacePathOrOptions?: string[] | Partial, + options?: Partial, + ): Promise { + // Detect if first argument is namespacePath array or options object + const namespacePath = Array.isArray(namespacePathOrOptions) + ? namespacePathOrOptions + : undefined; + const listTablesOptions = Array.isArray(namespacePathOrOptions) + ? options + : namespacePathOrOptions; + + return this.inner.listTables( + namespacePath ?? [], + listTablesOptions?.pageToken, + listTablesOptions?.limit, + ); + } + async openTable( name: string, namespacePath?: string[], diff --git a/nodejs/lancedb/embedding/index.ts b/nodejs/lancedb/embedding/index.ts index d0ffaec0d..d748e245a 100644 --- a/nodejs/lancedb/embedding/index.ts +++ b/nodejs/lancedb/embedding/index.ts @@ -4,7 +4,15 @@ import { Field, Schema } from "../arrow"; import { sanitizeType } from "../sanitize"; import { EmbeddingFunction } from "./embedding_function"; -import { EmbeddingFunctionConfig, getRegistry } from "./registry"; +import { + EmbeddingFunctionConfig, + EmbeddingFunctionRegistry, + getRegistry as getGlobalRegistry, + registerBuiltIn, +} from "./registry"; + +type OpenAIModule = typeof import("./openai"); +type TransformersModule = typeof import("./transformers"); export { FieldOptions, @@ -14,7 +22,39 @@ export { EmbeddingFunctionConstructor, } from "./embedding_function"; -export * from "./registry"; +export { + EmbeddingFunctionRegistry, + parseEmbeddingMetadata, + register, +} from "./registry"; +export type { + CreateReturnType, + EmbeddingFunctionConfig, + EmbeddingFunctionCreate, + EmbeddingMetadataEntry, + ResolvedEmbeddingFunctionConfig, +} from "./registry"; + +function initializeBuiltInProviders() { + const { OpenAIEmbeddingFunction } = require("./openai") as OpenAIModule; + const { TransformersEmbeddingFunction } = + require("./transformers") as TransformersModule; + + registerBuiltIn("openai", OpenAIEmbeddingFunction); + registerBuiltIn("huggingface", TransformersEmbeddingFunction); +} + +/** + * Get the global embedding function registry. + * + * LanceDB built-in providers are initialized when this public API is first + * used, so importing the root package does not change automatic search + * selection for tables without embedding metadata. + */ +export function getRegistry(): EmbeddingFunctionRegistry { + initializeBuiltInProviders(); + return getGlobalRegistry(); +} /** * Create a schema with embedding functions. diff --git a/nodejs/lancedb/embedding/openai.ts b/nodejs/lancedb/embedding/openai.ts index 5771cfeb5..2218d44bc 100644 --- a/nodejs/lancedb/embedding/openai.ts +++ b/nodejs/lancedb/embedding/openai.ts @@ -5,14 +5,13 @@ import type OpenAI from "openai"; import type { EmbeddingCreateParams } from "openai/resources/index"; import { Float, Float32 } from "../arrow"; import { EmbeddingFunction } from "./embedding_function"; -import { register } from "./registry"; +import { registerBuiltIn } from "./registry"; export type OpenAIOptions = { apiKey: string; model: EmbeddingCreateParams["model"]; }; -@register("openai") export class OpenAIEmbeddingFunction extends EmbeddingFunction< string, Partial @@ -100,3 +99,5 @@ export class OpenAIEmbeddingFunction extends EmbeddingFunction< return response.data[0].embedding; } } + +registerBuiltIn("openai", OpenAIEmbeddingFunction); diff --git a/nodejs/lancedb/embedding/registry.ts b/nodejs/lancedb/embedding/registry.ts index 5f32f683c..c9ee9135e 100644 --- a/nodejs/lancedb/embedding/registry.ts +++ b/nodejs/lancedb/embedding/registry.ts @@ -7,6 +7,10 @@ import { } from "./embedding_function"; import "reflect-metadata"; +const builtInFunctionsKey = Symbol.for( + "@lancedb/lancedb::embedding-built-in-functions::v1", +); + export type CreateReturnType = T extends { init: () => Promise } ? Promise : T; @@ -59,6 +63,15 @@ export class EmbeddingFunctionRegistry { }; } + /** @ignore */ + setBuiltIn< + T extends EmbeddingFunctionConstructor = EmbeddingFunctionConstructor, + >(name: string, ctor: T): T { + this.#functions.set(name, ctor); + Reflect.defineMetadata("lancedb::embedding::name", name, ctor); + return ctor; + } + get>( name: string, ): EmbeddingFunctionCreate | undefined; @@ -96,6 +109,7 @@ export class EmbeddingFunctionRegistry { */ reset(this: EmbeddingFunctionRegistry) { this.#functions.clear(); + getBuiltInFunctions(this).clear(); } /** @@ -183,12 +197,56 @@ export class EmbeddingFunctionRegistry { } } -const _REGISTRY = new EmbeddingFunctionRegistry(); +function getBuiltInFunctions(registry: EmbeddingFunctionRegistry): Set { + const registryWithBuiltIns = registry as EmbeddingFunctionRegistry & { + [key: symbol]: Set | undefined; + }; + let builtInFunctions = registryWithBuiltIns[builtInFunctionsKey]; + if (builtInFunctions === undefined) { + builtInFunctions = new Set(); + registryWithBuiltIns[builtInFunctionsKey] = builtInFunctions; + } + return builtInFunctions; +} + +// Server bundlers can load the side-effect embedding entry points and the public +// embedding API from separate module graphs. Keep their registry shared. +const registryKey = Symbol.for( + "@lancedb/lancedb::embedding-function-registry::v1", +); +const registryGlobal = globalThis as typeof globalThis & { + [key: symbol]: EmbeddingFunctionRegistry | undefined; +}; + +function getGlobalRegistry(): EmbeddingFunctionRegistry { + const existingRegistry = registryGlobal[registryKey]; + if (existingRegistry !== undefined) { + return existingRegistry; + } + const registry = new EmbeddingFunctionRegistry(); + registryGlobal[registryKey] = registry; + return registry; +} + +const _REGISTRY = getGlobalRegistry(); export function register(name?: string) { return _REGISTRY.register(name); } +/** @ignore */ +export function registerBuiltIn< + T extends EmbeddingFunctionConstructor = EmbeddingFunctionConstructor, +>(name: string, ctor: T): T { + const builtInFunctions = getBuiltInFunctions(_REGISTRY); + if (builtInFunctions.has(name)) { + return _REGISTRY.setBuiltIn(name, ctor); + } + _REGISTRY.register(name)(ctor); + builtInFunctions.add(name); + return ctor; +} + /** * Utility function to get the global instance of the registry * @returns `EmbeddingFunctionRegistry` The global instance of the registry diff --git a/nodejs/lancedb/embedding/transformers.ts b/nodejs/lancedb/embedding/transformers.ts index 161575285..06043ea7c 100644 --- a/nodejs/lancedb/embedding/transformers.ts +++ b/nodejs/lancedb/embedding/transformers.ts @@ -3,7 +3,7 @@ import { Float, Float32 } from "../arrow"; import { EmbeddingFunction } from "./embedding_function"; -import { register } from "./registry"; +import { registerBuiltIn } from "./registry"; export type XenovaTransformerOptions = { /** The wasm compatible model to use */ @@ -31,7 +31,6 @@ export type XenovaTransformerOptions = { }; }; -@register("huggingface") export class TransformersEmbeddingFunction extends EmbeddingFunction< string, Partial @@ -158,6 +157,8 @@ export class TransformersEmbeddingFunction extends EmbeddingFunction< } } +registerBuiltIn("huggingface", TransformersEmbeddingFunction); + const tensorDiv = ( src: import("@huggingface/transformers").Tensor, divBy: number, diff --git a/nodejs/lancedb/index.ts b/nodejs/lancedb/index.ts index da13b434f..34d7ce4d9 100644 --- a/nodejs/lancedb/index.ts +++ b/nodejs/lancedb/index.ts @@ -81,11 +81,13 @@ export { Connection, CreateTableOptions, TableNamesOptions, + ListTablesOptions, OpenTableOptions, ListNamespacesOptions, CreateNamespaceOptions, DropNamespaceOptions, ListNamespacesResponse, + ListTablesResponse, CreateNamespaceResponse, DropNamespaceResponse, DescribeNamespaceResponse, @@ -101,6 +103,7 @@ export { } from "./native.js"; export { + AutoQuery, ExecutableQuery, Query, QueryBase, diff --git a/nodejs/lancedb/query.ts b/nodejs/lancedb/query.ts index 843a1276f..75a787fcd 100644 --- a/nodejs/lancedb/query.ts +++ b/nodejs/lancedb/query.ts @@ -100,6 +100,29 @@ export interface FullTextSearchOptions { columns?: string | string[]; } +function nearestToNative( + inner: NativeQuery, + vector: Awaited, +): NativeVectorQuery { + const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector); + if (raw) { + return inner.nearestToRaw(raw.data, raw.dtype); + } + return inner.nearestTo(Float32Array.from(vector as number[])); +} + +function addQueryVectorToNative( + inner: NativeVectorQuery, + vector: Awaited, +) { + const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector); + if (raw) { + inner.addQueryVectorRaw(raw.data, raw.dtype); + } else { + inner.addQueryVector(Float32Array.from(vector as number[])); + } +} + /** Common methods supported by all query types * * @see {@link Query} @@ -111,13 +134,15 @@ export class QueryBase< NativeQueryType extends NativeQuery | NativeVectorQuery | NativeTakeQuery, > implements AsyncIterable { + protected inner!: NativeQueryType | Promise; + /** * @hidden */ - protected constructor( - protected inner: NativeQueryType | Promise, - ) { - // intentionally empty + protected constructor(inner?: NativeQueryType | Promise) { + if (inner !== undefined) { + this.inner = inner; + } } // call a function on the inner (either a promise or the actual object) @@ -135,6 +160,15 @@ export class QueryBase< } } + /** + * Return the native query used by the next terminal operation. + * + * @hidden + */ + protected async getInner(): Promise { + return this.inner; + } + /** * Return only the specified columns. * @@ -207,16 +241,11 @@ export class QueryBase< /** * @hidden */ - protected nativeExecute( + protected async nativeExecute( options?: Partial, ): Promise { - if (this.inner instanceof Promise) { - return this.inner.then((inner) => - inner.execute(options?.maxBatchLength, options?.timeoutMs), - ); - } else { - return this.inner.execute(options?.maxBatchLength, options?.timeoutMs); - } + const inner = await this.getInner(); + return inner.execute(options?.maxBatchLength, options?.timeoutMs); } /** @@ -245,12 +274,7 @@ export class QueryBase< /** Collect the results as an Arrow @see {@link ArrowTable}. */ async toArrow(options?: Partial): Promise { const batches = []; - let inner; - if (this.inner instanceof Promise) { - inner = await this.inner; - } else { - inner = this.inner; - } + const inner = await this.getInner(); for await (const batch of new RecordBatchIterable(inner, options)) { batches.push(batch); } @@ -279,11 +303,8 @@ export class QueryBase< * @returns A Promise that resolves to a string containing the query execution plan explanation. */ async explainPlan(verbose = false): Promise { - if (this.inner instanceof Promise) { - return this.inner.then((inner) => inner.explainPlan(verbose)); - } else { - return this.inner.explainPlan(verbose); - } + const inner = await this.getInner(); + return inner.explainPlan(verbose); } /** @@ -321,13 +342,8 @@ export class QueryBase< distributedMetrics?: AnalyzePlanDistributedMetrics, ): Promise { const distributedMetricsMode = distributedMetrics ?? "aggregate"; - if (this.inner instanceof Promise) { - return this.inner.then((inner) => - inner.analyzePlan(distributedMetricsMode), - ); - } else { - return this.inner.analyzePlan(distributedMetricsMode); - } + const inner = await this.getInner(); + return inner.analyzePlan(distributedMetricsMode); } /** @@ -339,12 +355,8 @@ export class QueryBase< * @returns An Arrow Schema describing the output columns. */ async outputSchema(): Promise { - let schemaBuffer: Buffer; - if (this.inner instanceof Promise) { - schemaBuffer = await this.inner.then((inner) => inner.outputSchema()); - } else { - schemaBuffer = await this.inner.outputSchema(); - } + const inner = await this.getInner(); + const schemaBuffer = await inner.outputSchema(); const schema = tableFromIPC(schemaBuffer).schema; return schema; } @@ -356,7 +368,7 @@ export class StandardQueryBase< extends QueryBase implements ExecutableQuery { - constructor(inner: NativeQueryType | Promise) { + constructor(inner?: NativeQueryType | Promise) { super(inner); } @@ -510,6 +522,13 @@ export class VectorQuery extends StandardQueryBase { super(inner); } + /** + * @hidden + */ + protected doVectorCall(fn: (inner: NativeVectorQuery) => void) { + super.doCall(fn); + } + /** * Set the number of partitions to search (probe) * @@ -537,7 +556,7 @@ export class VectorQuery extends StandardQueryBase { * the minimum and maximum to the same value. */ nprobes(nprobes: number): VectorQuery { - super.doCall((inner) => inner.nprobes(nprobes)); + this.doVectorCall((inner) => inner.nprobes(nprobes)); return this; } @@ -551,7 +570,7 @@ export class VectorQuery extends StandardQueryBase { * but will also increase latency. */ minimumNprobes(minimumNprobes: number): VectorQuery { - super.doCall((inner) => inner.minimumNprobes(minimumNprobes)); + this.doVectorCall((inner) => inner.minimumNprobes(minimumNprobes)); return this; } @@ -565,7 +584,7 @@ export class VectorQuery extends StandardQueryBase { * potential false negatives. */ maximumNprobes(maximumNprobes: number): VectorQuery { - super.doCall((inner) => inner.maximumNprobes(maximumNprobes)); + this.doVectorCall((inner) => inner.maximumNprobes(maximumNprobes)); return this; } @@ -578,7 +597,7 @@ export class VectorQuery extends StandardQueryBase { * `undefined` means no lower or upper bound. */ distanceRange(lowerBound?: number, upperBound?: number): VectorQuery { - super.doCall((inner) => inner.distanceRange(lowerBound, upperBound)); + this.doVectorCall((inner) => inner.distanceRange(lowerBound, upperBound)); return this; } @@ -592,7 +611,7 @@ export class VectorQuery extends StandardQueryBase { * also increase the latency of your query. The default value is 1.5*limit. */ ef(ef: number): VectorQuery { - super.doCall((inner) => inner.ef(ef)); + this.doVectorCall((inner) => inner.ef(ef)); return this; } @@ -606,7 +625,7 @@ export class VectorQuery extends StandardQueryBase { * whose data type is a fixed-size-list of floats. */ column(column: string): VectorQuery { - super.doCall((inner) => inner.column(column)); + this.doVectorCall((inner) => inner.column(column)); return this; } @@ -627,7 +646,7 @@ export class VectorQuery extends StandardQueryBase { distanceType( distanceType: Required["distanceType"], ): VectorQuery { - super.doCall((inner) => inner.distanceType(distanceType)); + this.doVectorCall((inner) => inner.distanceType(distanceType)); return this; } @@ -661,7 +680,7 @@ export class VectorQuery extends StandardQueryBase { * distance between the query vector and the actual uncompressed vector. */ refineFactor(refineFactor: number): VectorQuery { - super.doCall((inner) => inner.refineFactor(refineFactor)); + this.doVectorCall((inner) => inner.refineFactor(refineFactor)); return this; } @@ -686,7 +705,7 @@ export class VectorQuery extends StandardQueryBase { * factor can often help restore some of the results lost by post filtering. */ postfilter(): VectorQuery { - super.doCall((inner) => inner.postfilter()); + this.doVectorCall((inner) => inner.postfilter()); return this; } @@ -700,7 +719,7 @@ export class VectorQuery extends StandardQueryBase { * calculate your recall to select an appropriate value for nprobes. */ bypassVectorIndex(): VectorQuery { - super.doCall((inner) => inner.bypassVectorIndex()); + this.doVectorCall((inner) => inner.bypassVectorIndex()); return this; } @@ -708,43 +727,39 @@ export class VectorQuery extends StandardQueryBase { * Add a query vector to the search * * This method can be called multiple times to add multiple query vectors - * to the search. If multiple query vectors are added, then they will be searched - * in parallel, and the results will be concatenated. A column called `query_index` - * will be added to indicate the index of the query vector that produced the result. - * - * Performance wise, this is equivalent to running multiple queries concurrently. + * to the search. A column called `query_index` will be added to indicate the index + * of the query vector that produced the result. Flat searches share one table scan + * across the query vectors, avoiding the scan and memory amplification of running + * multiple queries concurrently. Indexed searches may still perform per-vector + * index work. */ addQueryVector(vector: IntoVector): VectorQuery { if (vector instanceof Promise) { + // Observe the promise as soon as it is accepted. The existing native + // query may still be pending, and delaying observation until it resolves + // can otherwise surface a fast rejection as unhandled. + const settledVector = vector.then( + (value) => ({ status: "fulfilled" as const, value }), + (reason) => ({ status: "rejected" as const, reason }), + ); const res = (async () => { - try { - const v = await vector; - // biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping - const value: any = this.addQueryVector(v); - const inner = value.inner as - | NativeVectorQuery - | Promise; - return inner; - } catch (e) { - return Promise.reject(e); + const inner = await this.getInner(); + const outcome = await settledVector; + if (outcome.status === "rejected") { + throw outcome.reason; } + addQueryVectorToNative(inner, outcome.value); + return inner; })(); return new VectorQuery(res); } else { - super.doCall((inner) => { - const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector); - if (raw) { - inner.addQueryVectorRaw(raw.data, raw.dtype); - } else { - inner.addQueryVector(Float32Array.from(vector as number[])); - } - }); + this.doVectorCall((inner) => addQueryVectorToNative(inner, vector)); return this; } } rerank(reranker: Reranker): VectorQuery { - super.doCall((inner) => + this.doVectorCall((inner) => inner.rerank(async (args) => { const vecResults = await fromBufferToRecordBatch(args.vecResults); const ftsResults = await fromBufferToRecordBatch(args.ftsResults); @@ -763,6 +778,71 @@ export class VectorQuery extends StandardQueryBase { } } +/** + * Create a string query whose vector/FTS routing is resolved against the active + * table schema when the query executes. + * + * @hidden + */ +export function createAutoQuery( + table: NativeTable, + query: string, + columns: string[] | null, + getVector: (metadata: string) => Promise>, +): AutoQuery { + type RouteSnapshot = { + table: NativeTable; + embeddingMetadata: string | undefined; + }; + type CachedPreparation = { + metadata: string; + vector: Promise>; + }; + + let cachedPreparation: CachedPreparation | undefined; + + const snapshotRoute = async (): Promise => { + const snapshot = await table.querySnapshot(); + const schema = tableFromIPC(await snapshot.schema()).schema; + return { + table: snapshot, + embeddingMetadata: schema.metadata.get("embedding_functions"), + }; + }; + + const createInner = async (): Promise => { + const route = await snapshotRoute(); + if (route.embeddingMetadata === undefined) { + const inner = route.table.query(); + inner.fullTextSearch({ query, columns }); + return inner; + } + + const metadata = route.embeddingMetadata; + if (cachedPreparation?.metadata !== metadata) { + cachedPreparation = { + metadata, + vector: Promise.resolve().then(() => getVector(metadata)), + }; + } + + const preparation = cachedPreparation; + let vector: Awaited; + try { + vector = await preparation.vector; + } catch (error) { + if (cachedPreparation === preparation) { + cachedPreparation = undefined; + } + throw error; + } + + return nearestToNative(route.table.query(), vector); + }; + + return new AutoQuery(createInner); +} + /** * A query that returns a subset of the rows in the table. * @@ -788,6 +868,51 @@ export class TakeQuery extends QueryBase { } } +/** + * A builder for automatic string searches. + * + * Automatic search determines whether to use full-text or vector search from + * the table revision selected for each execution. This builder exposes the + * common operations supported by both query families. + * + * @hideconstructor + */ +export class AutoQuery extends StandardQueryBase< + NativeQuery | NativeVectorQuery +> { + private readonly calls: Array< + (inner: NativeQuery | NativeVectorQuery) => void + > = []; + + /** @hidden */ + constructor( + private readonly createInner: () => Promise< + NativeQuery | NativeVectorQuery + >, + ) { + super(); + } + + /** @hidden */ + protected override doCall( + fn: (inner: NativeQuery | NativeVectorQuery) => void, + ) { + this.calls.push(fn); + } + + /** @hidden */ + protected override async getInner(): Promise< + NativeQuery | NativeVectorQuery + > { + const calls = [...this.calls]; + const inner = await this.createInner(); + for (const call of calls) { + call(inner); + } + return inner; + } +} + /** A builder for LanceDB queries. * * @see {@link Table#query}, {@link Table#search} @@ -840,45 +965,19 @@ export class Query extends StandardQueryBase { * a default `limit` of 10 will be used. @see {@link Query#limit} */ nearestTo(vector: IntoVector): VectorQuery { - const callNearestTo = ( - inner: NativeQuery, - resolved: Float32Array | Float64Array | Uint8Array | number[], - ): NativeVectorQuery => { - const raw = Array.isArray(resolved) - ? null - : extractVectorBuffer(resolved); - if (raw) { - return inner.nearestToRaw(raw.data, raw.dtype); - } - return inner.nearestTo(Float32Array.from(resolved as number[])); - }; - - if (this.inner instanceof Promise) { - const nativeQuery = this.inner.then(async (inner) => { - const resolved = vector instanceof Promise ? await vector : vector; - return callNearestTo(inner, resolved); - }); + const inner = this.inner; + if (inner instanceof Promise) { + const nativeQuery = inner.then(async (resolvedInner) => + nearestToNative(resolvedInner, await vector), + ); return new VectorQuery(nativeQuery); } if (vector instanceof Promise) { - const res = (async () => { - try { - const v = await vector; - // biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping - const value: any = this.nearestTo(v); - const inner = value.inner as - | NativeVectorQuery - | Promise; - return inner; - } catch (e) { - return Promise.reject(e); - } - })(); - return new VectorQuery(res); - } else { - const vectorQuery = callNearestTo(this.inner, vector); - return new VectorQuery(vectorQuery); + return new VectorQuery( + vector.then((resolvedVector) => nearestToNative(inner, resolvedVector)), + ); } + return new VectorQuery(nearestToNative(inner, vector)); } nearestToText(query: string | FullTextQuery, columns?: string[]): Query { diff --git a/nodejs/lancedb/schema.ts b/nodejs/lancedb/schema.ts new file mode 100644 index 000000000..3a3ee9316 --- /dev/null +++ b/nodejs/lancedb/schema.ts @@ -0,0 +1,567 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +import { + Binary, + Bool, + DataType, + Dictionary, + Field, + FixedSizeList, + Float32, + Float64, + Int32, + Int64, + List, + Schema, + Struct, + Utf8, + util as arrowUtil, +} from "apache-arrow"; +import { typedArrayToArrowType } from "./arrow_type"; +import { sanitizeType } from "./sanitize"; + +type InferenceOptions = { + dictionaryEncodeStrings: boolean; + vectorColumns: Record; +}; + +/** + * Infer the Arrow schema represented by a set of records. + * + * This is the intentionally small interface to schema inference. The stateful + * details of combining partial type evidence are encapsulated below so callers + * only need to provide records, an optional schema, and inference options. + */ +export function inferSchema( + data: Array>, + schema: Schema | undefined, + options: InferenceOptions, +): Schema { + return new SchemaInferrer(schema, options).infer(data); +} + +class SchemaInferrer { + private readonly fields = new FieldTree(); + + constructor( + private readonly providedSchema: Schema | undefined, + private readonly options: InferenceOptions, + ) {} + + infer(data: Array>): Schema { + for (const [row, record] of data.entries()) { + for (const [path, value] of recordPathsAndValues(record)) { + this.observe(path, value, row); + } + } + + return this.providedSchema === undefined + ? new Schema(fieldsFromTree(this.fields)) + : new Schema(matchingFields(this.providedSchema.fields, this.fields)); + } + + private observe(path: string[], value: unknown, row: number): void { + const current = this.fields.get(path); + if (current === undefined) { + this.addField(path, value, row); + } else if (this.providedSchema === undefined) { + this.updateInferredField(path, value, row, current); + } + } + + private addField(path: string[], value: unknown, row: number): void { + if (this.providedSchema !== undefined) { + this.addSchemaField(this.providedSchema, path, row); + return; + } + + const evidence = + this.inferType(value, path) ?? DeferredTypeEvidence.from(value, row); + if (evidence === undefined) { + throw typeInferenceError(path, row); + } + + const conflict = this.fields.set( + path, + evidence, + (existing) => + existing instanceof DeferredTypeEvidence && existing.isOnlyNulls(), + ); + if (conflict !== undefined) { + throw branchConflictError(conflict, row, "Struct"); + } + } + + private addSchemaField(schema: Schema, path: string[], row: number): void { + const field = fieldAtPath(schema, path); + if (field === undefined) { + throw new Error( + `Found field not in schema: ${path.join(".")} at row ${row}`, + ); + } + + const conflict = this.fields.set(path, field.type); + if (conflict !== undefined) { + throw branchConflictError(conflict, row, "Struct"); + } + } + + private updateInferredField( + path: string[], + value: unknown, + row: number, + current: FieldNode, + ): void { + const newType = this.inferType(value, path); + const deferred = DeferredTypeEvidence.from(value, row); + + if (current instanceof FieldTree) { + if (deferred?.isOnlyNulls()) { + return; + } + throw schemaInferenceError( + path, + row, + "Struct", + describeEvidence(newType ?? deferred), + ); + } + + if (current instanceof DeferredTypeEvidence) { + this.resolveDeferredField(path, row, current, newType, deferred); + return; + } + + if (newType !== undefined) { + if (!inferredTypesEqual(current, newType)) { + throw schemaInferenceError( + path, + row, + describeEvidence(current), + describeEvidence(newType), + ); + } + return; + } + + if (deferred === undefined || !deferred.matches(current)) { + throw schemaInferenceError( + path, + row, + describeEvidence(current), + describeEvidence(deferred), + ); + } + } + + private resolveDeferredField( + path: string[], + row: number, + current: DeferredTypeEvidence, + newType: DataType | undefined, + deferred: DeferredTypeEvidence | undefined, + ): void { + if (newType !== undefined) { + if (!current.matches(newType)) { + throw schemaInferenceError( + path, + row, + current.describe(), + describeEvidence(newType), + ); + } + this.fields.set(path, newType); + return; + } + + if (deferred !== undefined) { + this.fields.set(path, current.merge(deferred)); + return; + } + + throw schemaInferenceError( + path, + row, + current.describe(), + describeEvidence(newType), + ); + } + + private inferType(value: unknown, path: string[]): DataType | undefined { + if (typeof value === "bigint") { + return new Int64(); + } + if (typeof value === "number") { + return new Float64(); + } + if (typeof value === "string") { + return this.options.dictionaryEncodeStrings + ? new Dictionary(new Utf8(), new Int32()) + : new Utf8(); + } + if (typeof value === "boolean") { + return new Bool(); + } + if (value instanceof Buffer) { + return new Binary(); + } + if (ArrayBuffer.isView(value) && !(value instanceof DataView)) { + const typedArray = typedArrayToArrowType(value); + return typedArray === undefined + ? undefined + : new FixedSizeList( + typedArray.length, + new Field("item", typedArray.elementType, true), + ); + } + if (!Array.isArray(value) || value.length === 0) { + return undefined; + } + + const configuredVector = + path.length === 1 ? this.options.vectorColumns[path[0]] : undefined; + if (configuredVector !== undefined) { + return new FixedSizeList( + value.length, + new Field("item", sanitizeType(configuredVector.type), true), + ); + } + + const itemType = this.inferArrayItemType(value, path); + if (itemType === undefined) { + return undefined; + } + + return nameSuggestsVectorColumn(path[path.length - 1]) + ? new FixedSizeList(value.length, new Field("item", new Float32(), true)) + : new List(new Field("item", itemType, true)); + } + + private inferArrayItemType( + values: unknown[], + path: string[], + ): DataType | undefined { + let itemType: DataType | undefined; + const deferredItems: unknown[] = []; + + for (const value of values) { + const candidate = this.inferType(value, path); + if (candidate === undefined) { + if (!isDeferredValue(value)) { + return undefined; + } + deferredItems.push(value); + } else if (itemType === undefined) { + itemType = candidate; + } else if (!inferredTypesEqual(itemType, candidate)) { + return undefined; + } + } + + if (itemType === undefined) { + return undefined; + } + return deferredItems.every((value) => + deferredValueMatchesType(value, itemType), + ) + ? itemType + : undefined; + } +} + +/** Nulls and empty/all-null lists that do not determine a type by themselves. */ +class DeferredTypeEvidence { + private constructor( + private readonly values: Array<{ value: unknown; row: number }>, + ) {} + + static from(value: unknown, row: number): DeferredTypeEvidence | undefined { + return isDeferredValue(value) + ? new DeferredTypeEvidence([{ value, row }]) + : undefined; + } + + isOnlyNulls(): boolean { + return this.values.every(({ value }) => value == null); + } + + matches(type: DataType): boolean { + return this.values.every(({ value }) => + deferredValueMatchesType(value, type), + ); + } + + merge(other: DeferredTypeEvidence): DeferredTypeEvidence { + return new DeferredTypeEvidence([...this.values, ...other.values]); + } + + describe(): string { + const list = this.values.find(({ value }) => Array.isArray(value)); + return list === undefined + ? "null" + : `List[${(list.value as unknown[]).length}]`; + } + + firstRow(): number { + return this.values[0].row; + } +} + +type FieldNode = DataType | DeferredTypeEvidence | FieldTree; +type LeafNode = Exclude; +type FieldConflict = { path: string[]; value: FieldNode }; + +/** Nested field state, kept separate from Arrow's eventual Struct types. */ +class FieldTree { + private readonly children = new Map(); + + get(path: string[]): FieldNode | undefined { + let current: FieldNode = this; + for (const part of path) { + if (!(current instanceof FieldTree)) { + return undefined; + } + const child = current.children.get(part); + if (child === undefined) { + return undefined; + } + current = child; + } + return current; + } + + set( + path: string[], + value: LeafNode, + canReplaceLeaf: (value: LeafNode) => boolean = () => false, + ): FieldConflict | undefined { + let branch: FieldTree = this; + for (const [index, part] of path.slice(0, -1).entries()) { + const child = branch.children.get(part); + if (child === undefined || (isLeaf(child) && canReplaceLeaf(child))) { + const nextBranch = new FieldTree(); + branch.children.set(part, nextBranch); + branch = nextBranch; + } else if (child instanceof FieldTree) { + branch = child; + } else { + return { path: path.slice(0, index + 1), value: child }; + } + } + + const name = path[path.length - 1]; + const current = branch.children.get(name); + if (current instanceof FieldTree) { + return { path, value: current }; + } + branch.children.set(name, value); + return undefined; + } + + entries(): IterableIterator<[string, FieldNode]> { + return this.children.entries(); + } + + has(name: string): boolean { + return this.children.has(name); + } +} + +function isLeaf(value: FieldNode): value is LeafNode { + return !(value instanceof FieldTree); +} + +function fieldsFromTree(tree: FieldTree, path: string[] = []): Field[] { + const fields: Field[] = []; + for (const [name, value] of tree.entries()) { + if (value instanceof FieldTree) { + fields.push( + new Field( + name, + new Struct(fieldsFromTree(value, [...path, name])), + true, + ), + ); + } else if (value instanceof DeferredTypeEvidence) { + throw typeInferenceError([...path, name], value.firstRow()); + } else { + fields.push(new Field(name, value, true)); + } + } + return fields; +} + +function matchingFields(fields: Field[], tree: FieldTree): Field[] { + const matches: Field[] = []; + for (const field of fields) { + if (!tree.has(field.name)) { + continue; + } + const value = tree.get([field.name]); + if (value instanceof FieldTree) { + const struct = field.type as Struct; + matches.push( + new Field( + field.name, + new Struct(matchingFields(struct.children, value)), + field.nullable, + field.metadata, + ), + ); + } else { + matches.push(field); + } + } + return matches; +} + +function* recordPathsAndValues( + record: Record, + path: string[] = [], +): Generator<[string[], unknown]> { + for (const [name, value] of Object.entries(record)) { + if (isRecord(value)) { + yield* recordPathsAndValues(value, [...path, name]); + } else if (value !== undefined) { + yield [[...path, name], value]; + } + } +} + +function isRecord(value: unknown): value is Record { + return ( + typeof value === "object" && + value !== null && + !Array.isArray(value) && + !(value instanceof RegExp) && + !(value instanceof Date) && + !(value instanceof Set) && + !(value instanceof Map) && + !(value instanceof Buffer) && + !ArrayBuffer.isView(value) + ); +} + +function fieldAtPath(schema: Schema, path: string[]): Field | undefined { + let fields = schema.fields; + let field: Field | undefined; + for (const [index, name] of path.entries()) { + field = fields.find((candidate) => candidate.name === name); + if (field === undefined || index === path.length - 1) { + return field; + } + if (!DataType.isStruct(field.type)) { + return undefined; + } + fields = field.type.children; + } + return field; +} + +function isDeferredValue(value: unknown): boolean { + return ( + value == null || (Array.isArray(value) && value.every(isDeferredValue)) + ); +} + +function deferredValueMatchesType(value: unknown, type: DataType): boolean { + if (value == null) { + return true; + } + if (!Array.isArray(value)) { + return false; + } + if (DataType.isList(type)) { + return value.every((item) => + deferredValueMatchesType(item, type.valueType), + ); + } + if (DataType.isFixedSizeList(type)) { + return ( + value.length === type.listSize && + value.every((item) => deferredValueMatchesType(item, type.valueType)) + ); + } + return false; +} + +function inferredTypesEqual(current: DataType, candidate: DataType): boolean { + if (DataType.isDictionary(current)) { + return ( + DataType.isDictionary(candidate) && + current.isOrdered === candidate.isOrdered && + inferredTypesEqual(current.indices, candidate.indices) && + inferredTypesEqual(current.dictionary, candidate.dictionary) + ); + } + if (DataType.isList(current)) { + return ( + DataType.isList(candidate) && + current.valueField.name === candidate.valueField.name && + current.valueField.nullable === candidate.valueField.nullable && + inferredTypesEqual(current.valueType, candidate.valueType) + ); + } + if (DataType.isFixedSizeList(current)) { + return ( + DataType.isFixedSizeList(candidate) && + current.listSize === candidate.listSize && + current.valueField.name === candidate.valueField.name && + current.valueField.nullable === candidate.valueField.nullable && + inferredTypesEqual(current.valueType, candidate.valueType) + ); + } + return arrowUtil.compareTypes(current, candidate); +} + +function describeEvidence( + evidence: DataType | DeferredTypeEvidence | undefined, +): string { + if (evidence === undefined) { + return "an unsupported value"; + } + return evidence instanceof DeferredTypeEvidence + ? evidence.describe() + : evidence.toString(); +} + +function branchConflictError( + conflict: FieldConflict, + row: number, + candidate: string, +): Error { + return schemaInferenceError( + conflict.path, + row, + conflict.value instanceof FieldTree + ? "Struct" + : describeEvidence(conflict.value), + candidate, + ); +} + +function schemaInferenceError( + path: string[], + row: number, + currentType: string, + newType: string, +): Error { + return new Error( + `Failed to infer schema for data. Previously inferred type ${currentType} ` + + `but found ${newType} for field ${path.join(".")} at row ${row}. ` + + "Consider providing an explicit schema.", + ); +} + +function typeInferenceError(path: string[], row: number): Error { + return new Error( + `Failed to infer data type for field ${path.join(".")} at row ${row}. ` + + "Consider providing an explicit schema.", + ); +} + +function nameSuggestsVectorColumn(name: string): boolean { + const normalized = name.toLowerCase(); + return normalized.includes("vector") || normalized.includes("embedding"); +} diff --git a/nodejs/lancedb/table.ts b/nodejs/lancedb/table.ts index 28603cca9..dc062e337 100644 --- a/nodejs/lancedb/table.ts +++ b/nodejs/lancedb/table.ts @@ -43,10 +43,12 @@ import { Table as _NativeTable, } from "./native"; import { + AutoQuery, FullTextQuery, Query, TakeQuery, VectorQuery, + createAutoQuery, instanceOfFullTextQuery, } from "./query"; import { sanitizeType } from "./sanitize"; @@ -523,7 +525,7 @@ export abstract class Table { query: string | IntoVector | MultiVector | FullTextQuery, queryType?: string, ftsColumns?: string | string[], - ): VectorQuery | Query; + ): VectorQuery | Query | AutoQuery; /** * Search the table with a given query vector. * @@ -628,6 +630,18 @@ export abstract class Table { /** * Update per-field (column) metadata. + * + * The following keys are treated specially, by convention, and should be + * used when appropriate: + * + * - `lancedb:description`: for a human-readable description of a field. + * - `lancedb:tag:`: for a user-defined key-value tag, where the suffix + * names the tag category; e.g. `lancedb:tag:model: "clip"`. + * - `lancedb:logical-column`: for a column grouping; e.g. `feature_v1` and + * `feature_v2` might be in the same logical column. + * - `lancedb:status`: for status options (`production`, `candidate`, + * `deprecated`, `archived`) to designate the current life cycle state of + * this column. * @param {FieldMetadataUpdate[]} updates One or more per-field updates. Each * update's metadata is merged into the field's existing metadata by default; * a value of `null` deletes that key, and `replace: true` swaps the whole map. @@ -975,10 +989,11 @@ export class LocalTable extends Table { return this.inner.display(); } - private async getEmbeddingFunctions(): Promise< - Map - > { - const schema = await this.schema(); + private async getEmbeddingFunctions( + inner: _NativeTable = this.inner, + ): Promise> { + const schemaBuf = await inner.schema(); + const schema = tableFromIPC(schemaBuf).schema; const registry = getRegistry(); return registry.parseFunctions(schema.metadata); } @@ -1160,7 +1175,7 @@ export class LocalTable extends Table { query: string | IntoVector | MultiVector | FullTextQuery, queryType: string = "auto", ftsColumns?: string | string[], - ): VectorQuery | Query { + ): VectorQuery | Query | AutoQuery { if (typeof query !== "string" && !instanceOfFullTextQuery(query)) { if (queryType === "fts") { throw new Error("Cannot perform full text search on a vector query"); @@ -1175,14 +1190,28 @@ export class LocalTable extends Table { }); } - // The query type is auto or vector - // fall back to full text search if no embedding functions are defined and the query is a string - if ( - queryType === "auto" && - (getRegistry().length() === 0 || instanceOfFullTextQuery(query)) - ) { - return this.query().fullTextSearch(query, { - columns: ftsColumns, + if (queryType === "auto") { + if (instanceOfFullTextQuery(query)) { + return this.query().fullTextSearch(query, { + columns: ftsColumns, + }); + } + + const columns = + typeof ftsColumns === "string" ? [ftsColumns] : (ftsColumns ?? null); + return createAutoQuery(this.inner, query, columns, async (metadata) => { + const functions = await getRegistry().parseFunctions( + new Map([["embedding_functions", metadata]]), + ); + // TODO: Support multiple embedding functions + const embeddingFunc: EmbeddingFunctionConfig | undefined = functions + .values() + .next().value; + // The route only calls this callback when embedding metadata exists. + // parseFunctions either yields a provider or reports malformed metadata. + if (!embeddingFunc) + throw new Error("Invalid embedding function metadata"); + return await embeddingFunc.function.computeQueryEmbeddings(query); }); } @@ -1538,7 +1567,8 @@ export interface FieldMetadataUpdate { path: string; /** * Metadata key/value pairs. Merged into the field's existing metadata by - * default; a value of `null` deletes that key. + * default; a value of `null` deletes that key. See + * {@link Table.updateFieldMetadata} for the conventional `lancedb:*` keys. */ metadata: Record; /** If true, replace the field's entire metadata map instead of merging. */ diff --git a/nodejs/npm/darwin-arm64/package.json b/nodejs/npm/darwin-arm64/package.json index 3c76481fc..38b3db7d7 100644 --- a/nodejs/npm/darwin-arm64/package.json +++ b/nodejs/npm/darwin-arm64/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-darwin-arm64", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": ["darwin"], "cpu": ["arm64"], "main": "lancedb.darwin-arm64.node", diff --git a/nodejs/npm/linux-arm64-gnu/package.json b/nodejs/npm/linux-arm64-gnu/package.json index 7a1a3af03..a256cb1ee 100644 --- a/nodejs/npm/linux-arm64-gnu/package.json +++ b/nodejs/npm/linux-arm64-gnu/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-arm64-gnu", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": ["linux"], "cpu": ["arm64"], "main": "lancedb.linux-arm64-gnu.node", diff --git a/nodejs/npm/linux-arm64-musl/package.json b/nodejs/npm/linux-arm64-musl/package.json index 7175233af..567b785b0 100644 --- a/nodejs/npm/linux-arm64-musl/package.json +++ b/nodejs/npm/linux-arm64-musl/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-arm64-musl", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": ["linux"], "cpu": ["arm64"], "main": "lancedb.linux-arm64-musl.node", diff --git a/nodejs/npm/linux-x64-gnu/package.json b/nodejs/npm/linux-x64-gnu/package.json index add5a1da2..4443a2748 100644 --- a/nodejs/npm/linux-x64-gnu/package.json +++ b/nodejs/npm/linux-x64-gnu/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-x64-gnu", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": ["linux"], "cpu": ["x64"], "main": "lancedb.linux-x64-gnu.node", diff --git a/nodejs/npm/linux-x64-musl/package.json b/nodejs/npm/linux-x64-musl/package.json index 72a82bf6d..5c0710d56 100644 --- a/nodejs/npm/linux-x64-musl/package.json +++ b/nodejs/npm/linux-x64-musl/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-x64-musl", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": ["linux"], "cpu": ["x64"], "main": "lancedb.linux-x64-musl.node", diff --git a/nodejs/npm/win32-arm64-msvc/package.json b/nodejs/npm/win32-arm64-msvc/package.json index c69beeb8a..648c985f1 100644 --- a/nodejs/npm/win32-arm64-msvc/package.json +++ b/nodejs/npm/win32-arm64-msvc/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-win32-arm64-msvc", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": [ "win32" ], diff --git a/nodejs/npm/win32-x64-msvc/package.json b/nodejs/npm/win32-x64-msvc/package.json index d21fc1eb3..1f3bfdeb8 100644 --- a/nodejs/npm/win32-x64-msvc/package.json +++ b/nodejs/npm/win32-x64-msvc/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-win32-x64-msvc", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "os": ["win32"], "cpu": ["x64"], "main": "lancedb.win32-x64-msvc.node", diff --git a/nodejs/package-lock.json b/nodejs/package-lock.json index 1c368dab5..d46f08628 100644 --- a/nodejs/package-lock.json +++ b/nodejs/package-lock.json @@ -1,12 +1,12 @@ { "name": "@lancedb/lancedb", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@lancedb/lancedb", - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "cpu": [ "x64", "arm64" diff --git a/nodejs/package.json b/nodejs/package.json index 7f72eb8b0..665e2a522 100644 --- a/nodejs/package.json +++ b/nodejs/package.json @@ -11,7 +11,7 @@ "ann" ], "private": false, - "version": "0.38.0-beta.3", + "version": "0.38.0-beta.11", "main": "dist/index.js", "exports": { ".": "./dist/index.js", diff --git a/nodejs/src/connection.rs b/nodejs/src/connection.rs index 44eb68f32..5cf676256 100644 --- a/nodejs/src/connection.rs +++ b/nodejs/src/connection.rs @@ -17,6 +17,7 @@ use lancedb::connection::{ConnectBuilder, Connection as LanceDBConnection, conne use lance_namespace::models::{ CreateNamespaceRequest, DescribeNamespaceRequest, DropNamespaceRequest, ListNamespacesRequest, + ListTablesRequest, }; use lancedb::ipc::{ipc_file_to_batches, ipc_file_to_schema}; @@ -36,6 +37,12 @@ pub struct ListNamespacesResponse { pub page_token: Option, } +#[napi(object)] +pub struct ListTablesResponse { + pub tables: Vec, + pub page_token: Option, +} + #[napi(object)] pub struct CreateNamespaceResponse { pub properties: Option>, @@ -206,6 +213,33 @@ impl Connection { op.execute().await.default_error() } + /// List a page of tables in the database. + #[napi(catch_unwind)] + pub async fn list_tables( + &self, + namespace_path: Option>, + page_token: Option, + limit: Option, + ) -> napi::Result { + let request = ListTablesRequest { + // The root namespace is an empty path, not an absent one: a namespace-backed + // database rejects a request that names no namespace. + id: Some(namespace_path.unwrap_or_default()), + page_token, + limit: limit.map(|limit| i32::try_from(limit).unwrap_or(i32::MAX)), + ..Default::default() + }; + let response = self + .get_inner()? + .list_tables(request) + .await + .default_error()?; + Ok(ListTablesResponse { + tables: response.tables, + page_token: response.page_token, + }) + } + /// Create table from a Apache Arrow IPC (file) buffer. /// /// Parameters: diff --git a/nodejs/src/job.rs b/nodejs/src/job.rs index 6aaeee174..14013fd27 100644 --- a/nodejs/src/job.rs +++ b/nodejs/src/job.rs @@ -14,9 +14,12 @@ pub struct Job { } impl Job { - pub(crate) fn new(inner: lancedb::Job) -> Self { + pub(crate) fn new(inner: lancedb::Job) -> Self + where + T: Clone + Send + Sync + 'static, + { Self { - inner: Arc::new(inner), + inner: Arc::new(inner.map(|_| ())), } } } diff --git a/nodejs/src/table.rs b/nodejs/src/table.rs index 9d60b2056..db74d38fa 100644 --- a/nodejs/src/table.rs +++ b/nodejs/src/table.rs @@ -278,6 +278,13 @@ impl Table { Ok(Query::new(self.inner_ref()?.query())) } + /// Return a read-only table handle pinned to the current query revision. + #[napi(catch_unwind)] + pub async fn query_snapshot(&self) -> napi::Result { + let snapshot = self.inner_ref()?.query_snapshot().await.default_error()?; + Ok(Self::new(snapshot)) + } + #[napi(catch_unwind)] pub fn take_offsets(&self, offsets: Vec) -> napi::Result { Ok(TakeQuery::new( @@ -554,6 +561,12 @@ impl Table { .default_error() } + #[napi(catch_unwind)] + pub async fn checkout_current(&self) -> napi::Result { + let table = self.inner_ref()?.checkout_current().await.default_error()?; + Ok(Self::new(table)) + } + #[napi(catch_unwind)] pub async fn checkout(&self, version: i64) -> napi::Result<()> { self.inner_ref()? diff --git a/python/Cargo.toml b/python/Cargo.toml index ddc13b69f..b97fad0ed 100644 --- a/python/Cargo.toml +++ b/python/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "lancedb-python" -version = "0.38.0-beta.3" +version = "0.38.0-beta.11" publish = false edition.workspace = true description = "Python bindings for LanceDB" diff --git a/python/pyproject.toml b/python/pyproject.toml index fad3b1001..22a41a8a9 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -101,9 +101,12 @@ azure = ["adlfs>=2024.2.0"] [tool.maturin] python-source = "python" module-name = "lancedb._lancedb" +# uv installs the project as an editable package before `uv run`, so keep that +# bootstrap build consistent with `maturin develop`. +editable-profile = "dev" [build-system] -requires = ["maturin>=1.9.4"] +requires = ["maturin>=1.10"] build-backend = "maturin" [tool.ruff.lint] diff --git a/python/python/lancedb/__init__.py b/python/python/lancedb/__init__.py index f9530210d..1de581143 100644 --- a/python/python/lancedb/__init__.py +++ b/python/python/lancedb/__init__.py @@ -29,6 +29,7 @@ from .functions import ( FunctionRegistrationRequest as FunctionRegistrationRequest, FunctionVersion as FunctionVersion, PythonRuntimeSpec as PythonRuntimeSpec, + RefreshColumnResult as RefreshColumnResult, UdfDefinition as UdfDefinition, udf as udf, ) @@ -178,6 +179,18 @@ def connect( ... }, ... ) + For Azure Blob Storage, credentials can be passed directly without setting + environment variables: + + >>> azure_storage_options = { + ... "account_name": "some-account", + ... "account_key": "some-key", + ... } + >>> db = lancedb.connect( # doctest: +SKIP + ... "az://my-container/my-database", + ... storage_options=azure_storage_options, + ... ) + For tests and temporary data, use an in-memory database: >>> db = lancedb.connect("memory://") @@ -464,6 +477,10 @@ async def connect_async( -------- >>> import lancedb + >>> azure_storage_options = { + ... "account_name": "some-account", + ... "account_key": "some-key", + ... } >>> async def doctest_example(): ... # For a local directory, provide a path to the database ... db = await lancedb.connect_async("~/.lancedb") @@ -471,6 +488,11 @@ async def connect_async( ... db = await lancedb.connect_async("s3://my-bucket/lancedb", ... storage_options={ ... "aws_access_key_id": "***"}) + ... # Azure credentials can also be passed directly + ... db = await lancedb.connect_async( + ... "az://my-container/my-database", + ... storage_options=azure_storage_options, + ... ) ... # For tests and temporary data, use an in-memory database ... db = await lancedb.connect_async("memory://") ... # Connect to LanceDB cloud diff --git a/python/python/lancedb/_lancedb.pyi b/python/python/lancedb/_lancedb.pyi index 837441919..f3185eddd 100644 --- a/python/python/lancedb/_lancedb.pyi +++ b/python/python/lancedb/_lancedb.pyi @@ -147,7 +147,7 @@ class Connection(object): limit: Optional[int], ) -> list[str]: ... # Deprecated: Use list_tables instead def job(self, job_id: str) -> Job: ... - async def create_function_async(self, request_json: str) -> FunctionJob: ... + async def create_function_async(self, request_json: str) -> Job: ... async def get_function(self, name: str, version: str) -> str: ... async def list_jobs(self) -> List[JobInfo]: ... async def get_job(self, job_id: str) -> Optional[JobDescription]: ... @@ -234,14 +234,7 @@ class Job: @property def id(self) -> Optional[str]: ... async def status(self) -> str: ... - async def wait(self) -> None: ... - async def cancel(self) -> None: ... - -class FunctionJob: - @property - def id(self) -> Optional[str]: ... - async def status(self) -> str: ... - async def wait(self) -> str: ... + async def wait(self) -> Optional[str]: ... async def cancel(self) -> None: ... class JobInfo: @@ -290,6 +283,7 @@ class Table: mode: Literal["append", "overwrite"], progress: Optional[Any] = None, write_parallelism: Optional[int] = None, + allow_external_blob_outside_bases: bool = False, ) -> AddResult: ... async def update( self, updates: Dict[str, str], where: Optional[str] diff --git a/python/python/lancedb/db.py b/python/python/lancedb/db.py index 7ad749920..51b8d9993 100644 --- a/python/python/lancedb/db.py +++ b/python/python/lancedb/db.py @@ -46,7 +46,7 @@ from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError from . import __version__ from ._lancedb import connect as lancedb_connect # type: ignore from .functions import FunctionVersion, UdfDefinition -from .job import AsyncJob, Job, _function_job +from .job import AsyncJob, Job, _typed_job from .materialized_view import ( AsyncMaterializedView, MaterializedView, @@ -2237,7 +2237,7 @@ class AsyncConnection(object): inner = await self._inner.create_function_async( definition.registration_request.to_canonical_json() ) - return _function_job(inner) + return _typed_job(inner, FunctionVersion.from_json) async def get_function(self, name: str, *, version: str) -> FunctionVersion: """Open one exact immutable Function version from the remote catalog.""" diff --git a/python/python/lancedb/functions.py b/python/python/lancedb/functions.py index 9532ab8b9..8a19a9d37 100644 --- a/python/python/lancedb/functions.py +++ b/python/python/lancedb/functions.py @@ -1,26 +1,30 @@ # SPDX-License-Identifier: Apache-2.0 # SPDX-FileCopyrightText: Copyright The LanceDB Authors -"""Canonical values exchanged with LanceDB Enterprise Function services. +"""Canonical Function values exchanged with LanceDB Enterprise services. These immutable models contain client/wire state only. Catalog persistence, -environment bake, secret resolution, and execution are owned by Sophon. +environment bake, and execution are owned by Sophon. +``RefreshColumnResult`` is also the backend-neutral result of a local +expression-backed refresh job. """ from __future__ import annotations import ast +import builtins import base64 import functools import hashlib +import importlib import inspect +import symtable import json import math import re import sys import textwrap import types -import uuid from collections.abc import Mapping from datetime import date, datetime from typing import ( @@ -218,13 +222,14 @@ class PythonEnvironmentSpec(_RemoteValue): kind: str packages: tuple[str, ...] = () + channels: tuple[str, ...] = () path: Optional[str] = None modules: tuple[str, ...] = () image: Optional[str] = None class PythonRuntimeSpec(_RemoteValue): - """Remote runtime definition with non-secret environment values. + """Remote runtime definition with environment values. V1 supports ``kind="python"``. Newer runtime kinds remain readable, while their unknown payload fields are intentionally not retained by the client. @@ -263,7 +268,6 @@ class FunctionVersion(_RemoteValue): runtime: PythonRuntimeSpec runtime_digest: str environment_digest: str - required_secrets: tuple[str, ...] = () created_at: str def __call__(self, **inputs: Any) -> FunctionApplication: @@ -271,7 +275,7 @@ class FunctionVersion(_RemoteValue): Every input must be a direct [lancedb.col][lancedb.expr.col] reference. The returned application is immutable and retains a - named-struct output as one sibling group, so every row's sibling values + named-struct output as one binding, so every row's sibling values come from one logical Function evaluation. Map result fields to table columns with [FunctionApplication.rename][lancedb.functions.FunctionApplication.rename], @@ -321,22 +325,16 @@ class FunctionVersion(_RemoteValue): function=FunctionVersionRef(name=self.name, version=self.version), inputs=tuple(bindings), output=self.signature.output, - group_id=f"fg_{uuid.uuid4().hex}", ) class FunctionRegistrationRequest(_RemoteValue): - """Stable remote registration envelope produced by :func:`udf`. - - Only secret names are represented. Secret values are resolved inside the - remote service and have no client request field. - """ + """Stable remote registration envelope produced by :func:`udf`.""" name: str artifact: FunctionArtifactRequest signature: FunctionSignature runtime: PythonRuntimeSpec - required_secrets: tuple[str, ...] = () class FunctionVersionRef(_OpenRemoteValue): @@ -365,7 +363,7 @@ class ApplicationInput(_OpenRemoteValue): class FunctionApplication(_OpenRemoteValue): """Immutable pre-declaration application of an exact Function version. - A named-struct output remains one grouped application through table + A named-struct output remains one application through table declaration and execution. [FunctionApplication.rename][lancedb.functions.FunctionApplication.rename] records the result-field to table-column mapping without splitting sibling @@ -375,7 +373,6 @@ class FunctionApplication(_OpenRemoteValue): function: FunctionVersionRef inputs: tuple[ApplicationInput, ...] output: FunctionOutput - group_id: str columns: Mapping[str, str] = Field(default_factory=dict) def _known_dict(self) -> dict[str, Any]: @@ -447,12 +444,10 @@ class OutputMapping(_RemoteValue): class FunctionBinding(_RemoteValue): - """Immutable grouped binding persisted by the Enterprise table service.""" + """Immutable Function binding persisted by the Enterprise table service.""" binding_id: str - revision: _UInt64 function: FunctionVersionRef - group_id: str inputs: tuple[InputBinding, ...] outputs: tuple[OutputMapping, ...] input_schema: Optional[Mapping[str, Any]] = None @@ -460,7 +455,11 @@ class FunctionBinding(_RemoteValue): class RefreshColumnResult(_RemoteValue): - """Terminal result of a remote Function-column refresh Job.""" + """Terminal result of an expression-backed or Function-backed refresh Job. + + Local jobs produce this value in process. LanceDB Cloud and Enterprise + decode the same value from the durable server-job terminal payload. + """ rows_assigned: _UInt64 rows_failed: _UInt64 @@ -480,62 +479,60 @@ class RefreshColumnResult(_RemoteValue): _FUNCTION_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_.-]*$") -_SECRET_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$") + + +_GRAMMAR_PRIMITIVES = ( + (pa.bool_(), "bool"), + (pa.int8(), "int8"), + (pa.int16(), "int16"), + (pa.int32(), "int32"), + (pa.int64(), "int64"), + (pa.uint8(), "uint8"), + (pa.uint16(), "uint16"), + (pa.uint32(), "uint32"), + (pa.uint64(), "uint64"), + (pa.float16(), "float16"), + (pa.float32(), "float32"), + (pa.float64(), "float64"), + (pa.string(), "utf8"), + (pa.binary(), "binary"), + (pa.date32(), "date32"), + (pa.date64(), "date64"), +) def _canonical_arrow_type(data_type: pa.DataType) -> str: - primitive_types = ( - (pa.bool_(), "bool"), - (pa.int8(), "int8"), - (pa.int16(), "int16"), - (pa.int32(), "int32"), - (pa.int64(), "int64"), - (pa.uint8(), "uint8"), - (pa.uint16(), "uint16"), - (pa.uint32(), "uint32"), - (pa.uint64(), "uint64"), - (pa.float16(), "float16"), - (pa.float32(), "float32"), - (pa.float64(), "float64"), - (pa.string(), "utf8"), - (pa.large_utf8(), "large_utf8"), - (pa.binary(), "binary"), - (pa.large_binary(), "large_binary"), - (pa.date32(), "date32"), - (pa.date64(), "date64"), - ) - for candidate, name in primitive_types: + """The server's V1 Function type grammar. Anything outside it is rejected + here rather than at registration.""" + for candidate, name in _GRAMMAR_PRIMITIVES: if data_type == candidate: return name - if pa.types.is_fixed_size_binary(data_type): - return f"fixed_size_binary[{data_type.byte_width}]" - if pa.types.is_list(data_type): - return f"list<{_canonical_arrow_type(data_type.value_type)}>" - if pa.types.is_large_list(data_type): - return f"large_list<{_canonical_arrow_type(data_type.value_type)}>" - if pa.types.is_fixed_size_list(data_type): + if pa.types.is_list(data_type) or pa.types.is_large_list(data_type): + prefix = "list" if pa.types.is_list(data_type) else "large_list" + return f"{prefix}<{_canonical_list_item(data_type)}>" + if pa.types.is_fixed_size_list(data_type) and data_type.list_size > 0: return ( - f"fixed_size_list<{_canonical_arrow_type(data_type.value_type)}>" - f"[{data_type.list_size}]" + f"fixed_size_list<{_canonical_list_item(data_type)}, {data_type.list_size}>" ) - if pa.types.is_struct(data_type): - fields = ",".join( - f"{field.name}:{_canonical_arrow_type(field.type)}" for field in data_type - ) - return f"struct<{fields}>" - if pa.types.is_timestamp(data_type): - timezone = f",tz={data_type.tz}" if data_type.tz is not None else "" - return f"timestamp[{data_type.unit}{timezone}]" - if pa.types.is_time32(data_type) or pa.types.is_time64(data_type): - return f"time[{data_type.unit}]" - if pa.types.is_duration(data_type): - return f"duration[{data_type.unit}]" - if pa.types.is_decimal(data_type): - bit_width = data_type.bit_width - return f"decimal{bit_width}({data_type.precision},{data_type.scale})" raise TypeError(f"unsupported Arrow type for Function signature: {data_type}") +def _canonical_list_item(data_type: pa.DataType) -> str: + """The grammar names only the item type; it always means a non-nullable + child called `item`, so any other child metadata cannot be represented.""" + child = data_type.value_field + if child.name != "item" or child.nullable or child.metadata: + raise TypeError( + "unsupported Arrow type for Function signature: list items must be a " + f"non-nullable field named 'item', got {child}" + ) + return _canonical_arrow_type(child.type) + + +def _list_of(item: pa.DataType) -> pa.DataType: + return pa.list_(pa.field("item", item, nullable=False)) + + def _annotation_type(annotation: Any) -> tuple[pa.DataType, bool]: nullable = False origin = get_origin(annotation) @@ -583,7 +580,7 @@ def _annotation_type(annotation: Any) -> tuple[pa.DataType, bool]: value_type, value_nullable = _annotation_type(arguments[0]) if value_nullable: raise TypeError("nullable Function list elements are not supported") - return pa.list_(value_type), nullable + return _list_of(value_type), nullable raise TypeError(f"unsupported Function annotation: {annotation!r}") @@ -730,6 +727,104 @@ def _literal_source(value: Any) -> str: ) +_DYNAMIC_NAMESPACE_ACCESS = frozenset( + {"globals", "locals", "vars", "eval", "exec", "compile", "__import__"} +) +# Modules that hand out namespaces (`sys.modules`, `builtins`, importers, +# introspection). The artifact's module namespace holds only the names it was +# packaged with, so reaching around it cannot be represented. +_NAMESPACE_MODULES = frozenset( + {"sys", "builtins", "importlib", "inspect", "gc", "ctypes", "types"} +) + + +def _namespace_acquisition( + definition: ast.FunctionDef, references: set[str] +) -> list[str]: + found = set(references & _DYNAMIC_NAMESPACE_ACCESS) + for node in ast.walk(definition): + if isinstance(node, ast.Import): + found.update( + alias.name + for alias in node.names + if alias.name.split(".")[0] in _NAMESPACE_MODULES + ) + elif isinstance(node, ast.ImportFrom) and node.module: + if node.module.split(".")[0] in _NAMESPACE_MODULES: + found.add(node.module) + return sorted(found) + + +def _module_references(module_source: str) -> set[str]: + """Names any scope in `module_source` binds or loads at module scope. + Python's own scope analysis on the exact text that ships: free variables + belong to an enclosing scope inside the function, and postponed + annotations are not runtime loads.""" + + def visit(table: symtable.SymbolTable, found: set[str]) -> None: + for symbol in table.get_symbols(): + if symbol.is_global() and ( + symbol.is_referenced() or symbol.is_declared_global() + ): + found.add(symbol.get_name()) + for child in table.get_children(): + visit(child, found) + + found: set[str] = set() + for table in symtable.symtable(module_source, "", "exec").get_children(): + visit(table, found) + return found + + +def _global_source(name: str, value: Any) -> str: + """One module-level line that rebinds `name` to `value` in the artifact: + an import for modules and importable classes/functions, a literal otherwise.""" + if isinstance(value, types.ModuleType): + if value.__name__.split(".")[0] in _NAMESPACE_MODULES: + raise ValueError( + f"@udf cannot package dynamic namespace access: {value.__name__!r}" + ) + try: + imported = importlib.import_module(value.__name__) + except ImportError: + imported = None + if imported is not value: + raise TypeError( + f"Function source references module {name!r} that does not import " + f"as {value.__name__!r}" + ) + return f"import {value.__name__} as {name}" + module_name = getattr(value, "__module__", None) + qualname = getattr(value, "__qualname__", None) + if ( + isinstance(module_name, str) + and isinstance(qualname, str) + and module_name != "__main__" + and "." not in qualname + and "<" not in qualname + ): + try: + imported = getattr(importlib.import_module(module_name), qualname) + except (ImportError, AttributeError): + imported = None + if imported is value: + return f"from {module_name} import {qualname} as {name}" + return f"{name} = {_literal_source(value)}" + + +def _is_recursive_reference(function: Callable[..., Any], name: str) -> bool: + """`name` inside the body means the function itself unless the module has + since bound it to something else.""" + if name != function.__name__: + return False + bound = function.__globals__.get(name, function) + if bound is function: + return True + # The decorator's own result is the one wrapper known to call `function` + # unchanged; any other binding may behave differently from a self-call. + return type(bound) is UdfDefinition and bound._function is function + + def _package_source(function: Callable[..., Any]) -> bytes: if not inspect.isfunction(function) or inspect.iscoroutinefunction(function): raise TypeError("@udf requires a synchronous Python function") @@ -754,23 +849,46 @@ def _package_source(function: Callable[..., Any]) -> bytes: closure = inspect.getclosurevars(function) if closure.nonlocals: raise ValueError("@udf cannot package functions that capture closure values") - if closure.unbound: - raise ValueError( - f"@udf source contains unresolved global names: {sorted(closure.unbound)!r}" - ) - globals_source = [] - for name, value in sorted(closure.globals.items()): - if isinstance(value, types.ModuleType): - globals_source.append(f"import {value.__name__} as {name}") - else: - globals_source.append(f"{name} = {_literal_source(value)}") - function_source = ast.unparse(definition) - parts = ["from __future__ import annotations"] + module_header = "from __future__ import annotations" + references = _module_references(f"{module_header}\n\n{function_source}\n") + dynamic = _namespace_acquisition(definition, references) + if dynamic: + raise ValueError(f"@udf cannot package dynamic namespace access: {dynamic!r}") + # Resolve every module-scope reference the way the interpreter would: the + # function's own globals first (a module global may shadow a builtin, and + # nested scopes are not visible to getclosurevars), then its builtins. + # The artifact runs under the standard builtins; only the exact mapping is + # provably equivalent (a subclass or copy can change lookups and hooks). + if function.__builtins__ is not vars(builtins): + raise ValueError("@udf cannot package a non-standard builtins environment") + globals_source = [] + unresolved = [] + for name in sorted(references): + if name == function.__name__: + if not _is_recursive_reference(function, name): + raise ValueError( + f"@udf cannot package {name!r}: the module binds that name to " + "another value, which the artifact's own definition would shadow" + ) + continue + if name in function.__globals__: + globals_source.append(_global_source(name, function.__globals__[name])) + elif hasattr(builtins, name): + pass + else: + unresolved.append(name) + if unresolved: + raise ValueError( + f"@udf source contains unresolved global names: {unresolved!r}" + ) + + parts = [module_header] if globals_source: parts.extend(["", *globals_source]) parts.extend(["", function_source, ""]) - return "\n".join(parts).encode("utf-8") + packaged = "\n".join(parts) + return packaged.encode("utf-8") class UdfDefinition: @@ -791,33 +909,32 @@ class UdfDefinition: output_schema: Optional[pa.DataType | pa.Field | pa.Schema], pip: tuple[str, ...], env: Mapping[str, str], - secrets: tuple[str, ...], python_version: Optional[str], + conda: tuple[str, ...] = (), + conda_channels: tuple[str, ...] = (), ): function_name = name or function.__name__ if not _FUNCTION_NAME.fullmatch(function_name): raise ValueError(f"invalid Function name: {function_name!r}") - packages = tuple(sorted(set(pip))) + if pip and conda: + raise ValueError("a Function environment is pip or conda, not both") + if conda_channels and not conda: + raise ValueError("conda_channels requires conda packages") + packages = tuple(sorted(set(conda if conda else pip))) if any(not package or package != package.strip() for package in packages): - raise ValueError("pip requirements must be non-empty and trimmed") + raise ValueError("package requirements must be non-empty and trimmed") + if conda: + environment_spec = PythonEnvironmentSpec( + kind="conda", packages=packages, channels=tuple(conda_channels) + ) + else: + environment_spec = PythonEnvironmentSpec(kind="pip", packages=packages) environment = dict(env) if any( not isinstance(key, str) or not isinstance(value, str) for key, value in environment.items() ): raise TypeError("Function env keys and values must be strings") - required_secrets = tuple(sorted(set(secrets))) - invalid_secrets = [ - secret for secret in required_secrets if not _SECRET_NAME.fullmatch(secret) - ] - if invalid_secrets: - raise ValueError(f"invalid Function secret names: {invalid_secrets!r}") - overlap = set(environment) & set(required_secrets) - if overlap: - raise ValueError( - f"Function env and secret names must be disjoint: {sorted(overlap)!r}" - ) - signature = _infer_signature(function, input_schema, output_schema) source = _package_source(function) digest = f"sha256:{hashlib.sha256(source).hexdigest()}" @@ -825,7 +942,7 @@ class UdfDefinition: kind="python", python_version=python_version or f"{sys.version_info.major}.{sys.version_info.minor}", - environment=PythonEnvironmentSpec(kind="pip", packages=packages), + environment=environment_spec, env=environment, ) self._function = function @@ -846,7 +963,6 @@ class UdfDefinition: ), signature=signature, runtime=runtime, - required_secrets=required_secrets, ) functools.update_wrapper(self, function) @@ -872,8 +988,9 @@ def udf( output_schema: Optional[pa.DataType | pa.Field | pa.Schema] = None, pip: tuple[str, ...] | list[str] = (), env: Optional[Mapping[str, str]] = None, - secrets: tuple[str, ...] | list[str] = (), python_version: Optional[str] = None, + conda: tuple[str, ...] | list[str] = (), + conda_channels: tuple[str, ...] | list[str] = (), ) -> Callable[[Callable[..., Any]], UdfDefinition]: ... @@ -885,8 +1002,9 @@ def udf( output_schema: Optional[pa.DataType | pa.Field | pa.Schema] = None, pip: tuple[str, ...] | list[str] = (), env: Optional[Mapping[str, str]] = None, - secrets: tuple[str, ...] | list[str] = (), python_version: Optional[str] = None, + conda: tuple[str, ...] | list[str] = (), + conda_channels: tuple[str, ...] | list[str] = (), ): """Prepare a scalar Python callable for remote Function registration. @@ -909,14 +1027,22 @@ def udf( provided together with ``input_schema``. pip : sequence of str, optional Pip requirements for the remote environment. + conda : sequence of str, optional + Conda packages for the remote environment, instead of ``pip``. + conda_channels : sequence of str, optional + Conda channels in priority order; requires ``conda``. env : mapping of str to str, optional - Non-secret environment variables. Use ``secrets`` for credentials. - secrets : sequence of str, optional - Names of secrets resolved by the remote service. Secret values are not - accepted by this API or included in the registration request. + Environment variables included in the Function definition. python_version : str, optional Remote Python major/minor version. Defaults to the client version. + The packaged artifact is a snapshot: the function source plus exactly + the module-level names it references (modules as imports, importable + classes and functions as imports, literals inline). Code that reaches the + module namespace another way -- ``globals()``/``eval``, ``sys.modules``, + ``builtins`` -- is rejected where it can be seen and otherwise + unsupported; closures and a non-standard ``__builtins__`` are rejected. + Returns ------- UdfDefinition @@ -928,7 +1054,7 @@ def udf( Examples -------- >>> from lancedb import udf - >>> @udf(pip=["numpy==2.2.0"], secrets=["MODEL_TOKEN"]) + >>> @udf(pip=["numpy==2.2.0"]) ... def score(value: float) -> float: ... return value * 2 >>> score(1.5) @@ -943,8 +1069,9 @@ def udf( output_schema=output_schema, pip=tuple(pip), env={} if env is None else env, - secrets=tuple(secrets), python_version=python_version, + conda=tuple(conda), + conda_channels=tuple(conda_channels), ) if function is None: diff --git a/python/python/lancedb/index.py b/python/python/lancedb/index.py index d2b63baf6..948342887 100644 --- a/python/python/lancedb/index.py +++ b/python/python/lancedb/index.py @@ -7,6 +7,7 @@ from typing import List, Literal, Optional from ._lancedb import ( IndexConfig, ) +from .query import DocumentGranularity from .types import BaseTokenizerType lang_mapping = { @@ -121,6 +122,11 @@ class FTS: >>> config = FTS(block_size=256) + Create an index that treats each deepest-list element as one document: + + >>> from lancedb.query import DocumentGranularity + >>> config = FTS(document_granularity=DocumentGranularity.LIST_ELEMENT) + Attributes ---------- with_position : bool, default False @@ -172,6 +178,11 @@ class FTS: roughly half of the available CPU cores. The effective value is limited by the available compute capacity. This build-only setting is not persisted with the index and does not apply to remote tables. + document_granularity : DocumentGranularity, default ROW + ``ROW`` treats the selected text in one table row as one document. + ``LIST_ELEMENT`` treats each element of the deepest list on the indexed + field path as one document and returns its physical coordinates in + ``_doc_index`` for matching queries. Notes ----- @@ -196,6 +207,7 @@ class FTS: custom_stop_words: Optional[List[str]] = None memory_limit: Optional[int] = None num_workers: Optional[int] = None + document_granularity: DocumentGranularity = DocumentGranularity.ROW @dataclass diff --git a/python/python/lancedb/job.py b/python/python/lancedb/job.py index 7bd600a74..f688768cb 100644 --- a/python/python/lancedb/job.py +++ b/python/python/lancedb/job.py @@ -5,12 +5,11 @@ import asyncio from datetime import timedelta -from typing import Any, Generic, Optional, TypeVar, cast +from typing import Any, Callable, Generic, Optional, TypeVar, cast from lancedb.background_loop import LOOP from . import _lancedb -from .functions import FunctionVersion T = TypeVar("T") @@ -18,11 +17,18 @@ T = TypeVar("T") class AsyncJob(Generic[T]): """A handle to an operation that may still be running. - The operation may already be complete when the handle is created. + The operation may already be complete when the handle is created. ``T`` + is the endpoint's terminal result type; unit-result jobs resolve to + ``None``. """ - def __init__(self, inner: Optional[Any]): + def __init__( + self, + inner: Optional[Any], + result_decoder: Optional[Callable[[Any], T]] = None, + ): self._inner = inner + self._result_decoder = result_decoder @property def id(self) -> Optional[str]: @@ -50,17 +56,21 @@ class AsyncJob(Generic[T]): async def wait(self, timeout: Optional[timedelta] = None) -> T: """Wait until the operation reaches a terminal state. + Returns the endpoint's typed result, or ``None`` for a unit-result + job. + Raises `JobFailedError` if the operation failed, `JobCancelledError` if it was cancelled, and `TimeoutError` if `timeout` elapses first. """ if self._inner is None: return cast(T, None) if timeout is None: - return cast(T, await self._inner.wait()) - return cast( - T, - await asyncio.wait_for(self._inner.wait(), timeout.total_seconds()), - ) + result = await self._inner.wait() + else: + result = await asyncio.wait_for(self._inner.wait(), timeout.total_seconds()) + if self._result_decoder is not None: + return self._result_decoder(result) + return cast(T, result) async def cancel(self): """Request cancellation. Cancelling a finished operation is a no-op.""" @@ -70,7 +80,7 @@ class AsyncJob(Generic[T]): class Job(Generic[T]): - """Synchronous counterpart of `AsyncJob`.""" + """Synchronous counterpart of `AsyncJob` with the same result type.""" def __init__(self, inner: Optional[AsyncJob[T]]): self._inner = inner @@ -96,6 +106,9 @@ class Job(Generic[T]): def wait(self, timeout: Optional[timedelta] = None) -> T: """Block until the operation reaches a terminal state. + Returns the endpoint's typed result, or ``None`` for a unit-result + job. + Raises `JobFailedError` if the operation failed, `JobCancelledError` if it was cancelled, and `TimeoutError` if `timeout` elapses first. """ @@ -110,23 +123,8 @@ class Job(Generic[T]): LOOP.run(self._inner.cancel()) -class _FunctionJobAdapter: - def __init__(self, inner: "_lancedb.FunctionJob"): - self._inner = inner - - @property - def id(self) -> Optional[str]: - return self._inner.id - - async def status(self) -> str: - return await self._inner.status() - - async def wait(self) -> FunctionVersion: - return FunctionVersion.from_json(await self._inner.wait()) - - async def cancel(self): - await self._inner.cancel() - - -def _function_job(inner: "_lancedb.FunctionJob") -> AsyncJob[FunctionVersion]: - return AsyncJob(_FunctionJobAdapter(inner)) +def _typed_job( + inner: "_lancedb.Job", result_decoder: Callable[[str], T] +) -> AsyncJob[T]: + """Bind an internal JSON-producing job to its public result model.""" + return AsyncJob(inner, result_decoder) diff --git a/python/python/lancedb/permutation.py b/python/python/lancedb/permutation.py index 5d7a685ef..8287ef2fe 100644 --- a/python/python/lancedb/permutation.py +++ b/python/python/lancedb/permutation.py @@ -391,6 +391,15 @@ def _table_to_pickle_state(table: Table) -> dict[str, Any]: } +def _drop_base_version(permutation_data: pa.Table) -> pa.Table: + """Strip the recorded base version so the reader leaves the base table unpinned.""" + metadata = dict(permutation_data.schema.metadata or {}) + if metadata.pop(b"base_version", None) is None: + return permutation_data + metadata.pop(b"base_branch", None) + return permutation_data.replace_schema_metadata(metadata) + + def _table_from_pickle_state(state: dict[str, Any]) -> Table: from . import connect @@ -679,11 +688,15 @@ class Permutation: from . import connect connection_factory = state["connection_factory"] + rebuilt_base = False if connection_factory is not None: base_table = connection_factory(state["base_table_name"]) elif "base_table_state" in state: - base_table = _table_from_pickle_state(state["base_table_state"]) + base_state = state["base_table_state"] + rebuilt_base = base_state["kind"] == "memory" + base_table = _table_from_pickle_state(base_state) elif "base_table_data" in state: + rebuilt_base = True # In-memory base table inlined into the pickle; rebuild the same # way we rebuild the in-memory permutation table. mem_db = connect("memory://") @@ -701,11 +714,14 @@ class Permutation: ) permutation_table: Optional[Table] = None - if state["permutation_data"] is not None: + permutation_data = state["permutation_data"] + if permutation_data is not None: + if rebuilt_base: + # The base table was materialized from Arrow, so it is a fresh + # single-version dataset and the recorded pin cannot resolve on it. + permutation_data = _drop_base_version(permutation_data) mem_db = connect("memory://") - permutation_table = mem_db.create_table( - "permutation", state["permutation_data"] - ) + permutation_table = mem_db.create_table("permutation", permutation_data) self.base_table = base_table self.permutation_table = permutation_table diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py index bd5e2cea2..9301d7df8 100644 --- a/python/python/lancedb/query.py +++ b/python/python/lancedb/query.py @@ -375,6 +375,13 @@ class FullTextOperator(str, Enum): OR = "OR" +class DocumentGranularity(str, Enum): + """The unit treated as one full-text-search document.""" + + ROW = "row" + LIST_ELEMENT = "list_element" + + class Occur(str, Enum): SHOULD = "SHOULD" MUST = "MUST" @@ -478,6 +485,10 @@ class MatchQuery(FullTextQuery): prefix_length : int, optional The number of beginning characters being unchanged for fuzzy matching. This is useful to achieve prefix matching. + document_granularity : DocumentGranularity, optional + Explicitly select row or deepest-list-element documents. If omitted, + the indexed granularity is inferred. When both granularities are indexed + for the field, this must be specified. With no index, row granularity is used. """ query: str @@ -487,6 +498,9 @@ class MatchQuery(FullTextQuery): max_expansions: int = pydantic.Field(50, kw_only=True) operator: FullTextOperator = pydantic.Field(FullTextOperator.OR, kw_only=True) prefix_length: int = pydantic.Field(0, kw_only=True) + document_granularity: Optional[DocumentGranularity] = pydantic.Field( + None, kw_only=True + ) def query_type(self) -> FullTextQueryType: return FullTextQueryType.MATCH @@ -503,11 +517,20 @@ class PhraseQuery(FullTextQuery): The query string to match against. column : str The name of the column to match against. + slop : int, default 0 + The maximum number of intervening positions permitted in the phrase. + document_granularity : DocumentGranularity, optional + Explicitly select row or deepest-list-element documents. If omitted, + the indexed granularity is inferred. When both granularities are indexed + for the field, this must be specified. With no index, row granularity is used. """ query: str column: str slop: int = pydantic.Field(0, kw_only=True) + document_granularity: Optional[DocumentGranularity] = pydantic.Field( + None, kw_only=True + ) def query_type(self) -> FullTextQueryType: return FullTextQueryType.MATCH_PHRASE @@ -3378,9 +3401,10 @@ class AsyncQuery(AsyncStandardQuery): pass in multiple vectors. When multiple vectors are passed in, if the vector column is with multivector type, then the vectors will be treated as a single query. Or the vectors will be treated as multiple queries, this can be useful - if you want to find the nearest vectors to multiple query vectors. - This is not expected to be faster than making multiple queries concurrently; - it is just a convenience method. If multiple vectors are passed in then + if you want to find the nearest vectors to multiple query vectors. Flat + searches share one table scan across the query vectors, avoiding the scan + and memory amplification of making multiple queries concurrently. If + multiple vectors are passed in then an additional column `query_index` will be added to the results. This column will contain the index of the query vector that the result is nearest to. """ @@ -3509,8 +3533,8 @@ class AsyncFTSQuery(AsyncStandardQuery): Typically, a single vector is passed in as the query. However, you can also pass in multiple vectors. This can be useful if you want to find the nearest - vectors to multiple query vectors. This is not expected to be faster than - making multiple queries concurrently; it is just a convenience method. + vectors to multiple query vectors. Flat searches share one table scan across + the query vectors instead of issuing concurrent full scans. If multiple vectors are passed in then an additional column `query_index` will be added to the results. This column will contain the index of the query vector that the result is nearest to. diff --git a/python/python/lancedb/remote/table.py b/python/python/lancedb/remote/table.py index 26e1852b6..cf9afa4ba 100644 --- a/python/python/lancedb/remote/table.py +++ b/python/python/lancedb/remote/table.py @@ -49,7 +49,7 @@ from lancedb.index import ( LabelList, ) from lancedb.job import Job -from lancedb.functions import FunctionApplication +from lancedb.functions import FunctionApplication, RefreshColumnResult from lancedb.remote.db import LOOP from lancedb.table import IndexConfigType, KNOWN_METRICS import pyarrow as pa @@ -61,6 +61,7 @@ from lancedb.table import _normalize_progress from ..query import ( AnalyzePlanDistributedMetrics, + DocumentGranularity, LanceQueryBuilder, LanceTakeQueryBuilder, LanceVectorQueryBuilder, @@ -358,6 +359,7 @@ class RemoteTable(Table): ngram_max_length: int = 3, prefix_only: bool = False, block_size: int = 128, + document_granularity: DocumentGranularity = DocumentGranularity.ROW, name: Optional[str] = None, ): """Create a full-text search index on a column. @@ -380,6 +382,7 @@ class RemoteTable(Table): ngram_max_length=ngram_max_length, prefix_only=prefix_only, block_size=block_size, + document_granularity=document_granularity, ) LOOP.run( self._table.create_index( @@ -619,6 +622,7 @@ class RemoteTable(Table): fill_value: float = 0.0, progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, + allow_external_blob_outside_bases: bool = False, ) -> AddResult: """Add more data to the [Table][lancedb.table.Table]. @@ -651,6 +655,8 @@ class RemoteTable(Table): data in flight. Defaults to an estimate based on the data size, capped at the number of CPU cores. Lower this if bulk ingestion is using too much memory. + allow_external_blob_outside_bases: bool, default False + Not supported on LanceDB Cloud. Setting this raises. Returns ------- @@ -667,6 +673,7 @@ class RemoteTable(Table): fill_value=fill_value, progress=progress, write_parallelism=write_parallelism, + allow_external_blob_outside_bases=allow_external_blob_outside_bases, ) ) finally: @@ -982,7 +989,7 @@ class RemoteTable(Table): def refresh_column(self, column: str): return LOOP.run(self._table.refresh_column(column)) - def refresh_column_async(self, column: str) -> Job: + def refresh_column_async(self, column: str) -> Job[RefreshColumnResult]: return Job(LOOP.run(self._table.refresh_column_async(column))) def alter_columns( diff --git a/python/python/lancedb/streaming.py b/python/python/lancedb/streaming.py index b27e606a4..76b3702a1 100644 --- a/python/python/lancedb/streaming.py +++ b/python/python/lancedb/streaming.py @@ -19,22 +19,29 @@ above. """ import ctypes +import heapq import logging import os import random import threading import time +import warnings from collections import deque from concurrent.futures import ThreadPoolExecutor +from copy import deepcopy from multiprocessing import RawArray -from typing import Any, Callable, Iterator, Optional, Union +from typing import Any, Callable, cast, Iterator, Literal, NamedTuple, Optional, Union -from torch.utils.data import IterableDataset, get_worker_info +import pyarrow as pa +import pyarrow.compute as pc +import torch +from torch.utils.data import DataLoader, IterableDataset, get_worker_info from .permutation import ( Permutation, Transforms, permutation_builder, + _drop_base_version, _table_from_pickle_state, _table_to_pickle_state, ) @@ -50,6 +57,155 @@ DEFAULT_READ_BATCH_SIZE = 64 DEFAULT_PREFETCH_BATCHES = 4 +class _WorkerSample(NamedTuple): + data: Any + dataset: "StreamingDataset" + + +class _WorkerBatch(NamedTuple): + data: Any + state: dict + + +class _ConsumerIteratorLease(NamedTuple): + owner_token: int + owner_thread: int + + +class _CheckpointCollate: + """Attach the worker's post-fetch state to a collated batch.""" + + def __init__(self, collate_fn: Callable): + self._collate_fn = collate_fn + + def __call__(self, samples): + try: + if isinstance(samples, list): + if not samples: + return _WorkerBatch(self._collate_fn(samples), {}) + worker_samples = samples + data = self._collate_fn([sample.data for sample in worker_samples]) + dataset = worker_samples[-1].dataset + else: + data = self._collate_fn(samples.data) + dataset = samples.dataset + except StopIteration as exc: + raise RuntimeError( + "collate_fn raised StopIteration before returning a batch" + ) from exc + return _WorkerBatch(data, dataset._checkpoint_snapshot()) + + +class _StreamingDatasetAdapter(IterableDataset): + """Yield private sample wrappers for :class:`StreamingDataLoader`.""" + + def __init__(self, dataset: "StreamingDataset"): + super().__init__() + self.dataset = dataset + + def __iter__(self): + for sample in self.dataset._iter(consumer_checkpoint_transport=True): + yield _WorkerSample(sample, self.dataset) + + def __getattr__(self, name): + dataset = self.__dict__.get("dataset") + if dataset is None: + raise AttributeError(name) + return getattr(dataset, name) + + +class _ConsumerCommitIterator: + def __init__( + self, + iterator, + dataset: "StreamingDataset", + *, + owner_token: int, + require_uniform: bool, + ): + self._iterator = iterator + self._dataset = dataset + self._owner_token = owner_token + self._require_uniform = require_uniform + self._released = False + self._terminal = False + + def __iter__(self): + return self + + def __next__(self): + if self._terminal: + raise StopIteration + try: + batch = next(self._iterator) + except StopIteration: + self._terminal = True + self._release() + raise + except BaseException as exc: + self._dataset._invalidate_checkpoint( + f"a DataLoader batch failed before it was returned: {exc}" + ) + raise + try: + if not isinstance(batch, _WorkerBatch): + raise RuntimeError( + "StreamingDataLoader did not receive worker checkpoint metadata" + ) + self._dataset._commit_worker_state( + batch.state, require_uniform=self._require_uniform + ) + return batch.data + except BaseException as exc: + self._dataset._invalidate_checkpoint( + f"a DataLoader batch failed before it was returned: {exc}" + ) + raise + + def _release(self) -> None: + if self.__dict__.get("_released", True): + return + self._released = True + dataset = self.__dict__.get("_dataset") + if dataset is not None: + dataset._release_consumer_iterator(self._owner_token) + + def _shutdown_workers(self): + if self.__dict__.get("_released", True): + return None + self._terminal = True + iterator = self.__dict__.get("_iterator") + shutdown = getattr(iterator, "_shutdown_workers", None) + try: + if shutdown is not None: + shutdown() + else: + fetcher = getattr(iterator, "_dataset_fetcher", None) + dataset_iterator = getattr(fetcher, "dataset_iter", None) + close = getattr(dataset_iterator, "close", None) + if close is None: + raise RuntimeError( + "StreamingDataLoader could not close its inner iterator" + ) + close() + except BaseException as exc: + self._dataset._invalidate_checkpoint( + f"a DataLoader iterator could not be shut down safely: {exc}" + ) + raise + else: + self._release() + + def __del__(self): + try: + self._shutdown_workers() + except BaseException: + pass + + def __getattr__(self, name): + return getattr(self._iterator, name) + + class StreamingDataset(IterableDataset): """An elastic, resumable PyTorch IterableDataset backed by a LanceDB table. @@ -61,7 +217,7 @@ class StreamingDataset(IterableDataset): Internally ``__iter__`` runs a two-stage pipeline: - - **Stage 1 (I/O)**: one thread pool with ``num_splits * prefetch_batches`` + - **Stage 1 (I/O)**: one thread pool with ``num_splits * io_queue_depth`` workers fetches raw ``RecordBatch`` objects from LanceDB in parallel across all splits and places them in a per-split raw-batch queue. - **Stage 2 (transform)**: a second thread pool with @@ -104,11 +260,11 @@ class StreamingDataset(IterableDataset): call. Larger values amortise per-request overhead (critical on object storage) at the cost of higher memory usage per split buffer. Defaults to ``DEFAULT_READ_BATCH_SIZE`` (64). - prefetch_batches: + io_queue_depth: Number of I/O batches to keep in flight per split. Higher values overlap storage latency with transform and training compute at the cost - of more memory and threads. Defaults to ``DEFAULT_PREFETCH_BATCHES`` - (4). + of more memory and threads. Must be greater than zero. Defaults to + ``DEFAULT_PREFETCH_BATCHES`` (4). columns: Optional list of column names to read. When set, only those columns are fetched from storage; all others are omitted. ``None`` (the @@ -132,6 +288,39 @@ class StreamingDataset(IterableDataset): Maximum number of transforms to run concurrently. Must be greater than zero. When ``None`` (the default), uses ``os.cpu_count()`` or 1 when the CPU count is unavailable. + pack_sequences: + Sequence-packing mode: token lists from consecutive documents are + joined with ``eos_id`` and sliced into blocks of this many tokens. + Each item is then a dict of two ``(pack_sequences,)`` LongTensors — + ``input_ids`` and ``doc_ids`` (per-position document index within + the block, for block-diagonal masks or position-id resets). + * Packing happens independently per owned split and preserves per-split + resume state. + * When a split cannot fill a real block for a cycle but an owned sibling + still can, or when only a short tail remains at epoch end, the short buffer + is padded to ``pack_sequences`` with ``pad_id`` so every local cycle emits + one block per owned split. + * ``eos_id``, ``pad_id``, and ``columns`` naming a single integer-list + column are required; incompatible with ``transform``. + eos_id: + Separator token id between packed documents. Required with + ``pack_sequences``, ignored otherwise. + pad_id: + Padding token id used to complete blocks when a split runs out of + real tokens mid-cycle or at epoch end. Required with + ``pack_sequences``, ignored otherwise. It must be reserved for padding: + padding positions retain the preceding document's ``doc_id`` (or zero + in an all-padding block), so callers must mask them separately using + ``input_ids == pad_id``. + blocks_per_epoch: + Total number of packed blocks emitted globally per epoch. Required with + ``pack_sequences``. An integer must be divisible by ``num_splits``. + Every logical split emits exactly ``blocks_per_epoch / num_splits`` + blocks: exhausted splits emit padding, while tokens beyond the budget + are left out of the epoch. This fixed per-split budget keeps packed + iteration and checkpoints independent of rank topology. + Pass ``"auto"`` to estimate a corpus-level budget from a bounded sample + of token lists. The estimate may be inaccurate. on_transform_error: What to do when the transform raises an exception: @@ -175,6 +364,16 @@ class StreamingDataset(IterableDataset): Prefer the ``filter`` parameter when bad rows can be expressed as a SQL predicate (e.g. ``"col IS NOT NULL"``) — filtering happens before splits are built, so every guarantee is fully preserved. + transform_queue_depth: + Number of transform-result batches to buffer per split in the + post-transform queue before backpressure is applied to the transform + stage. When the combined count of in-flight transform futures and + already-buffered rows for a split reaches + ``transform_queue_depth * read_batch_size``, no new transforms are + submitted for that split until the consumer catches up. Useful for + capping peak memory when the consumer (e.g. a GPU training step) is + slower than the transform stage. Must be greater than zero. + ``None`` (the default) imposes no limit. worker_info_override: If set, used in place of ``torch.utils.data.get_worker_info()`` to determine the DataLoader worker assignment. Intended for unit tests @@ -194,17 +393,30 @@ class StreamingDataset(IterableDataset): rank: int = 0, world_size: int = 1, read_batch_size: int = DEFAULT_READ_BATCH_SIZE, - prefetch_batches: int = DEFAULT_PREFETCH_BATCHES, + io_queue_depth: int = DEFAULT_PREFETCH_BATCHES, columns: Optional[list[str]] = None, shuffle_clump_size: Optional[int] = None, filter: Optional[str] = None, transform: Optional[Callable] = None, transform_parallelism: Optional[int] = None, + pack_sequences: Optional[int] = None, + eos_id: Optional[int] = None, + pad_id: Optional[int] = None, + blocks_per_epoch: Optional[Union[int, Literal["auto"]]] = None, on_transform_error: Union[str, Callable[[Exception], bool]] = "raise", + transform_queue_depth: Optional[int] = None, connection_factory: Optional[Callable[[str], Any]] = None, worker_info_override=None, + # Deprecated; use io_queue_depth instead. + prefetch_batches: Optional[int] = None, ): super().__init__() + if prefetch_batches is not None: + logger.warning( + "prefetch_batches is deprecated and will be removed in a future " + "version; use io_queue_depth instead" + ) + io_queue_depth = prefetch_batches if num_splits is None: num_splits = world_size if shuffle_seed is None: @@ -214,8 +426,59 @@ class StreamingDataset(IterableDataset): f"num_splits ({num_splits}) must be divisible by " f"world_size ({world_size})" ) + if io_queue_depth <= 0: + raise ValueError("io_queue_depth must be greater than 0") if transform_parallelism is not None and transform_parallelism <= 0: raise ValueError("transform_parallelism must be greater than 0") + if pack_sequences is not None: + if pack_sequences <= 0: + raise ValueError("pack_sequences must be greater than 0") + if eos_id is None: + raise ValueError("eos_id is required when pack_sequences is set") + if pad_id is None: + raise ValueError("pad_id is required when pack_sequences is set") + if blocks_per_epoch is None: + raise ValueError( + "blocks_per_epoch is required when pack_sequences is set" + ) + if blocks_per_epoch != "auto": + if not isinstance(blocks_per_epoch, int) or isinstance( + blocks_per_epoch, bool + ): + raise ValueError( + "blocks_per_epoch must be a positive integer or 'auto'" + ) + if blocks_per_epoch <= 0: + raise ValueError("blocks_per_epoch must be greater than 0") + if blocks_per_epoch % num_splits != 0: + raise ValueError( + f"blocks_per_epoch ({blocks_per_epoch}) must be divisible by " + f"num_splits ({num_splits})" + ) + if transform is not None: + raise ValueError("transform cannot be combined with pack_sequences") + if columns is None or len(columns) != 1: + raise ValueError( + "pack_sequences requires columns to name exactly one " + "list-typed column of token ids" + ) + field = table.schema.field(columns[0]) + if not ( + pa.types.is_list(field.type) + or pa.types.is_large_list(field.type) + or pa.types.is_fixed_size_list(field.type) + ): + raise ValueError( + f"pack_sequences requires a list-typed token column; " + f"{columns[0]} has type {field.type}" + ) + if not pa.types.is_integer(field.type.value_type): + raise ValueError( + "pack_sequences requires a token column with integer values; " + f"{columns[0]} has value type {field.type.value_type}" + ) + elif blocks_per_epoch is not None: + raise ValueError("blocks_per_epoch requires pack_sequences") if on_transform_error not in ("raise", "skip", "warn") and not callable( on_transform_error ): @@ -223,6 +486,8 @@ class StreamingDataset(IterableDataset): "on_transform_error must be 'raise', 'skip', 'warn', or a " f"callable, got {on_transform_error!r}" ) + if transform_queue_depth is not None and transform_queue_depth <= 0: + raise ValueError("transform_queue_depth must be greater than 0") self._table = table self._num_splits = num_splits @@ -232,16 +497,26 @@ class StreamingDataset(IterableDataset): self._rank = rank self._world_size = world_size self._read_batch_size = read_batch_size - self._prefetch_batches = prefetch_batches + self._io_queue_depth = io_queue_depth self._columns = columns self._shuffle_clump_size = shuffle_clump_size self._filter = filter self._transform = transform self._transform_parallelism = transform_parallelism + self._pack_sequences = pack_sequences + self._eos_id = eos_id + self._pad_id = pad_id + self._blocks_per_epoch = blocks_per_epoch self._on_transform_error = on_transform_error + self._transform_queue_depth = transform_queue_depth self._connection_factory = connection_factory self._worker_info_override = worker_info_override + # Packing resume state: permutation positions and partial-block buffers. + self._pack_consumed: list[int] = [0] * num_splits + self._pack_buffers: dict[int, dict[str, list[int]]] = {} + self._pack_blocks_emitted: list[int] = [0] * num_splits + # Live references to pipeline state, set only while __iter__ is running # in the same process. Used by the observability properties when the # DataLoader runs with num_workers=0. @@ -260,6 +535,22 @@ class StreamingDataset(IterableDataset): # rows_skipped] self._worker_stats: RawArray = RawArray(ctypes.c_int64, 8) + # A standard multi-process DataLoader cannot report which prefetched + # batches were actually returned to its consumer. Workers set this + # shared flag so state_dict() can reject a stale parent checkpoint + # unless StreamingDataLoader installed the consumer-commit transport. + self._untracked_worker_iteration: RawArray = RawArray(ctypes.c_int64, 1) + + # Parent-side checkpoint lifecycle. A failed DataLoader task creates + # a permanent hole in that iterator's delivery stream, while a + # multi-worker checkpoint is safe to restore only after all splits + # reach the same logical step boundary. + self._checkpoint_invalid_reason: Optional[str] = None + self._consumer_checkpoint_requires_uniform = False + self._consumer_iterator_lock = threading.Lock() + self._consumer_iterator_generation = 0 + self._consumer_iterator_lease: Optional[_ConsumerIteratorLease] = None + # Cumulative bytes of Arrow buffer data fetched across all iterations. self._bytes_loaded: int = 0 # Cumulative seconds spent in LanceDB I/O and in transform functions. @@ -272,6 +563,10 @@ class StreamingDataset(IterableDataset): # step boundaries all splits have consumed this many samples, so a # single scalar captures the topology-independent checkpoint state. self._resume_offset: int = 0 + # Exact yielded-sample counts for splits this process has advanced. + # Missing entries use _resume_offset, which remains the lower-bound + # checkpoint inherited from an earlier uniform/global state. + self._resume_samples: dict[int, int] = {} # Permutation position each split has consumed through, keyed by # global split index. Equal to _resume_offset for every split unless # on_transform_error skipped rows, in which case skipped positions @@ -291,6 +586,9 @@ class StreamingDataset(IterableDataset): else: self._perm_table = builder.split_sequential(fixed=num_splits).execute() + if self._blocks_per_epoch == "auto": + self._blocks_per_epoch = self._estimate_blocks_per_epoch() + # Contiguous block of global split indices assigned to this rank. splits_per_rank = num_splits // world_size rank_start = rank * splits_per_rank @@ -298,6 +596,71 @@ class StreamingDataset(IterableDataset): range(rank_start, rank_start + splits_per_rank) ) + def _estimate_blocks_per_epoch(self) -> int: + """Estimate a fixed packed-block budget from a bounded token sample.""" + # TODO: Replace this fallback with Lance's dedicated exact token-count + # estimation API once it is available. + if self._pack_sequences is None or not self._columns: + raise RuntimeError( + "packing must be configured before estimating its budget" + ) + + pack_len = self._pack_sequences + token_column = self._columns[0] + sample_cap_per_split = max(1, 100_000 // self._num_splits) + sampled_tokens = 0 + total_sampled = 0 + total_rows = 0 + rng = random.Random(self._shuffle_seed) + + warnings.warn( + "blocks_per_epoch='auto' uses an approximate token-count sample; " + "pass an explicit value for exact epoch sizing", + ) + + for split in range(self._num_splits): + permutation = Permutation.from_tables( + self._table, self._perm_table, split=split + ) + permutation = permutation.select_columns([token_column]) + permutation = permutation.with_transform(Transforms.arrow2arrow) + split_rows = permutation.num_rows + if split_rows == 0: + raise ValueError( + "blocks_per_epoch='auto' cannot estimate an empty dataset" + ) + + # Sample roughly 1% from each logical split, with at least one row + # per split and a global target cap of 100,000 rows. + sample_rows = min( + split_rows, + max(1, min((split_rows + 99) // 100, sample_cap_per_split)), + ) + sample_offsets = sorted(rng.sample(range(split_rows), sample_rows)) + sample_batch_size = max(1, self._read_batch_size) + for start in range(0, sample_rows, sample_batch_size): + batch = permutation.__getitems__( + sample_offsets[start : start + sample_batch_size] + ) + lengths = pc.list_value_length(batch.column(0)) + if lengths.null_count: + raise ValueError("pack_sequences does not support null token lists") + sampled_tokens += int(pc.sum(lengths).as_py()) + + total_sampled += sample_rows + total_rows += split_rows + + # Pool the samples into one global average. Each document contributes + # one EOS token. + estimated_tokens = ( + (sampled_tokens + total_sampled) * total_rows // total_sampled + ) + blocks = estimated_tokens // pack_len + return max( + self._num_splits, + blocks - blocks % self._num_splits, + ) + def _resolve_my_splits(self) -> list[int]: """Return the split indices this instance should read in __iter__.""" torch_worker_info = get_worker_info() @@ -329,11 +692,45 @@ class StreamingDataset(IterableDataset): return self._rank_splits[start : start + splits_per_worker] def __iter__(self) -> Iterator[dict[str, Any]]: + return self._iter() + + def _iter( + self, *, consumer_checkpoint_transport: bool = False + ) -> Iterator[dict[str, Any]]: + owner_token = None + previous_lease = self._consumer_iterator_lease + if consumer_checkpoint_transport: + if not self._consumer_iterator_active: + raise RuntimeError( + "StreamingDataLoader worker transport requires an active " + "parent iterator reservation" + ) + else: + try: + owner_token = self._acquire_consumer_iterator() + except BaseException: + self._release_consumer_iterator_after_failed_acquire(previous_lease) + raise + try: + yield from self._iter_owned( + consumer_checkpoint_transport=consumer_checkpoint_transport + ) + finally: + if owner_token is not None: + self._release_consumer_iterator(owner_token) + + def _iter_owned( + self, *, consumer_checkpoint_transport: bool + ) -> Iterator[dict[str, Any]]: if self._raw_batches_ref is not None: raise RuntimeError( "StreamingDataset does not support concurrent iteration. " "Only one active iterator per dataset instance is allowed." ) + real_worker = get_worker_info() is not None + if real_worker and not consumer_checkpoint_transport: + self._untracked_worker_iteration[0] = 1 + my_splits = self._resolve_my_splits() if not my_splits: return @@ -341,6 +738,7 @@ class StreamingDataset(IterableDataset): # Set identity transform on each Permutation so __getitems__ returns # the raw RecordBatch. Stage 2 applies the real transform. permutations: list[Permutation] = [] + initial_samples: list[int] = [] initial_positions: list[int] = [] for split_idx in my_splits: perm = Permutation.from_tables( @@ -348,16 +746,23 @@ class StreamingDataset(IterableDataset): ) if self._columns is not None: perm = perm.select_columns(self._columns) - perm = perm.with_transform(lambda batch: batch) - start_pos = self._resume_positions.get(split_idx, self._resume_offset) + perm = perm.with_transform(Transforms.arrow2arrow) + sample_count = self._resume_samples.get(split_idx, self._resume_offset) + # Both modes resume from absolute permutation positions. Packing + # stores them separately because it also checkpoints partial blocks. + start_pos = ( + self._pack_consumed[split_idx] + if self._pack_sequences is not None + else self._resume_positions.get(split_idx, sample_count) + ) if start_pos > 0: perm = perm.with_skip(start_pos) + initial_samples.append(sample_count) initial_positions.append(start_pos) permutations.append(perm) n = len(permutations) split_sizes = [perm.num_rows for perm in permutations] - initial_offset = self._resume_offset local_consumed = [0] * n # Permutation position each split has consumed through (absolute, # i.e. counted from the start of the unskipped split). Runs ahead of @@ -365,14 +770,36 @@ class StreamingDataset(IterableDataset): pos_consumed = list(initial_positions) batch_size = self._read_batch_size - max_prefetch = self._prefetch_batches + io_queue_depth = self._io_queue_depth transform_workers = ( self._transform_parallelism if self._transform_parallelism is not None else (os.cpu_count() or 1) ) - final_transform = ( - self._transform if self._transform is not None else Transforms.arrow2python + final_transform: Callable[[pa.RecordBatch], Any] + if self._pack_sequences is not None: + # Packing consumes raw token lists, one per document. + def arrow_tokens(batch: pa.RecordBatch) -> list[list[int]]: + token_column = batch.column(0) + if token_column.null_count or token_column.flatten().null_count: + raise ValueError( + "pack_sequences does not support null token lists or values" + ) + return cast(list[list[int]], token_column.to_pylist()) + + final_transform = arrow_tokens + else: + final_transform = ( + self._transform + if self._transform is not None + else Transforms.arrow2python + ) + # None means no limit; otherwise cap rows per split to + # transform_queue_depth batches worth (including in-flight transforms). + max_cooked_rows = ( + self._transform_queue_depth * batch_size + if self._transform_queue_depth is not None + else None ) # Per-split pipeline state. Batches are paired with the absolute @@ -409,7 +836,9 @@ class StreamingDataset(IterableDataset): io_pending[i].append((abs_start, io_pool.submit(_io_call, perm_i, indices))) def _fill_io(i: int) -> None: - while len(io_pending[i]) < max_prefetch and fetch_head[i] < split_sizes[i]: + while ( + len(io_pending[i]) < io_queue_depth and fetch_head[i] < split_sizes[i] + ): _submit_io(i) def _drain_io(i: int) -> None: @@ -487,7 +916,19 @@ class StreamingDataset(IterableDataset): def _try_submit_tx(i: int) -> None: """Submit transforms for raw_batches[i] up to available capacity.""" - while raw_batches[i] and tx_semaphore.acquire(blocking=False): + while raw_batches[i]: + # Backpressure: only submit a new transform when there is room + # for a full batch in the post-transform queue. Checking for + # a full batch prevents submitting a transform that would + # overflow the limit mid-batch (e.g. 990 rows queued with a + # capacity of 1000 and a batch_size of 128 must wait until + # 128 rows have been consumed, not just 1). + if max_cooked_rows is not None: + in_pipeline = len(cooked[i]) + len(tx_pending[i]) * batch_size + if in_pipeline + batch_size > max_cooked_rows: + break + if not tx_semaphore.acquire(blocking=False): + break abs_start, batch = raw_batches[i].popleft() tx_pending[i].append(tx_pool.submit(_tx_call_guarded, abs_start, batch)) @@ -529,19 +970,174 @@ class StreamingDataset(IterableDataset): else: break # split exhausted + def _update_stats(*, idle: bool = False) -> None: + """Refresh pipeline statistics visible to the parent process.""" + ws = self._worker_stats + ws[0] = sum(split_sizes[j] - fetch_head[j] for j in range(n)) + ws[1] = ( + 0 + if idle + else sum(batch.num_rows for q in raw_batches for _, batch in q) + ) + ws[2] = 0 if idle else sum(len(q) for q in cooked) + ws[3] = sum(local_consumed) + ws[4] = self._bytes_loaded + ws[5] = int(self._fetch_time * 1_000_000) + ws[6] = int(self._transform_time * 1_000_000) + ws[7] = self._rows_skipped + + # Sequence-packing helpers + pack_len = cast(int, self._pack_sequences) + eos_id = cast(int, self._eos_id) + pad_id = cast(int, self._pad_id) + blocks_per_split = ( + cast(int, self._blocks_per_epoch) // self._num_splits + if self._pack_sequences is not None + else 0 + ) + pack_consumed = list(self._pack_consumed) + pack_buffers = deepcopy(self._pack_buffers) + pack_blocks_emitted = list(self._pack_blocks_emitted) + + def _pack_buffer(i: int) -> dict[str, list[int]]: + return pack_buffers.setdefault(my_splits[i], {"tokens": [], "starts": []}) + + def _fill_block(i: int) -> None: + """Fill split i's buffer to one block or exhaust the split.""" + buf = _pack_buffer(i) + while len(buf["tokens"]) < pack_len: + _ensure_cooked(i) + if not cooked[i]: + return + buf["starts"].append(len(buf["tokens"])) + pos, tokens = cooked[i].popleft() + buf["tokens"].extend(tokens) + buf["tokens"].append(eos_id) + pack_consumed[my_splits[i]] = pos + 1 + local_consumed[i] += 1 + _advance(i) + + def _emit_block(i: int) -> dict[str, Any]: + buf = _pack_buffer(i) + tokens, starts = buf["tokens"], buf["starts"] + # doc_ids label document segments within the block; 0 also covers + # the continuation of a document begun in a prior block. + doc_ids = torch.zeros(pack_len, dtype=torch.int64) + doc_starts = [s for s in starts if 0 < s < pack_len] + doc_ids[doc_starts] = 1 + doc_ids.cumsum_(dim=0) # cumulative sum marks document boundaries + block = { + "input_ids": torch.tensor(tokens[:pack_len], dtype=torch.int64), + "doc_ids": doc_ids, + } + del tokens[:pack_len] + # Shift start boundaries for the next call. + buf["starts"] = [s - pack_len for s in starts if s >= pack_len] + return block + + def _commit_pack_state() -> None: + self._pack_consumed = list(pack_consumed) + self._pack_buffers = { + split: { + "tokens": list(buffer["tokens"]), + "starts": list(buffer["starts"]), + } + for split, buffer in pack_buffers.items() + } + self._pack_blocks_emitted = list(pack_blocks_emitted) + # ── Main loop ───────────────────────────────────────────────────────── - with ThreadPoolExecutor(max_workers=n * max_prefetch) as io_pool: + with ThreadPoolExecutor(max_workers=n * io_queue_depth) as io_pool: with ThreadPoolExecutor(max_workers=transform_workers) as tx_pool: self._raw_batches_ref = raw_batches self._cooked_ref = cooked self._fetch_head_ref = fetch_head self._split_sizes_ref = split_sizes self._local_consumed_ref = local_consumed + try: for i in range(n): _fill_io(i) + def _yield_row(i: int): + pos, row = cooked[i].popleft() + # Surface any completed prefetched failure before the + # current row becomes durable checkpoint progress. + _advance(i) + local_consumed[i] += 1 + pos_consumed[i] = pos + 1 + split_idx = my_splits[i] + self._resume_samples[split_idx] = ( + initial_samples[i] + local_consumed[i] + ) + self._resume_positions[split_idx] = pos_consumed[i] + return row + + def _update_progress_stats() -> None: + if not real_worker: + self._resume_offset = min( + initial_samples[j] + local_consumed[j] for j in range(n) + ) + _update_stats() + + if self._pack_sequences is not None: + first_count = pack_blocks_emitted[my_splits[0]] + if any( + pack_blocks_emitted[split] != first_count + for split in my_splits[1:] + ): + raise ValueError( + "Packed checkpoint is not aligned across the splits " + "owned by this iterator; merge every rank " + "state with merge_state_dicts before resuming on a " + "different topology" + ) + + while pack_blocks_emitted[my_splits[0]] < blocks_per_split: + # Each logical split gets one block per cycle. Exhausted + # splits are padded through the fixed global budget. + for i in range(n): + _fill_block(i) + + for i in range(n): + tokens = _pack_buffer(i)["tokens"] + if len(tokens) < pack_len: + tokens.extend([pad_id] * (pack_len - len(tokens))) + block = _emit_block(i) + pack_blocks_emitted[my_splits[i]] += 1 + # Checkpoint state must advance before yielding so + # StreamingDataLoader can attach the exact state to + # the batch it transports to the parent process. + _commit_pack_state() + if i == n - 1: + _update_stats() + yield block + return + + # A checkpoint taken between round-robin split turns has + # non-uniform counts. Resume lagging splits first so the + # exact canonical sequence continues without replaying + # already-consumed rows. + if len(set(initial_samples)) > 1: + catch_up_to = max(initial_samples) + pending = [ + (initial_samples[i], my_splits[i], i) + for i in range(n) + if initial_samples[i] < catch_up_to + ] + heapq.heapify(pending) + while pending: + consumed, _, i = heapq.heappop(pending) + _ensure_cooked(i) + if not cooked[i]: + return + row = _yield_row(i) + if consumed + 1 < catch_up_to: + heapq.heappush(pending, (consumed + 1, my_splits[i], i)) + _update_progress_stats() + yield row + while True: # A cycle only runs if every split can still produce a # row. Without skips all splits exhaust simultaneously @@ -562,34 +1158,14 @@ class StreamingDataset(IterableDataset): break for i in range(n): - pos, row = cooked[i].popleft() - local_consumed[i] += 1 - pos_consumed[i] = pos + 1 - _advance(i) + row = _yield_row(i) # After the last split in each cycle: update the # global offset and refresh the shared-memory stats # so the main process can observe pipeline depth # even when __iter__ runs in a worker process. if i == n - 1: - self._resume_offset = initial_offset + local_consumed[i] - for j, split_idx in enumerate(my_splits): - self._resume_positions[split_idx] = pos_consumed[j] - ws = self._worker_stats - ws[0] = sum( - split_sizes[j] - fetch_head[j] for j in range(n) - ) - ws[1] = sum( - batch.num_rows - for q in raw_batches - for _, batch in q - ) - ws[2] = sum(len(q) for q in cooked) - ws[3] = sum(local_consumed) - ws[4] = self._bytes_loaded - ws[5] = int(self._fetch_time * 1_000_000) - ws[6] = int(self._transform_time * 1_000_000) - ws[7] = self._rows_skipped + _update_progress_stats() yield row finally: @@ -597,15 +1173,7 @@ class StreamingDataset(IterableDataset): # when iteration ends mid-cycle (e.g. a split whose rows # were all skipped before completing a single cycle), so # counters like rows_skipped would otherwise be stale. - ws = self._worker_stats - ws[0] = sum(split_sizes[j] - fetch_head[j] for j in range(n)) - ws[1] = 0 # queue-depth properties document 0 when idle - ws[2] = 0 - ws[3] = sum(local_consumed) - ws[4] = self._bytes_loaded - ws[5] = int(self._fetch_time * 1_000_000) - ws[6] = int(self._transform_time * 1_000_000) - ws[7] = self._rows_skipped + _update_stats(idle=True) self._raw_batches_ref = None self._cooked_ref = None self._fetch_head_ref = None @@ -744,6 +1312,7 @@ class StreamingDataset(IterableDataset): "_local_consumed_ref", ): state[key] = None + state["_consumer_iterator_lock"] = None return state def __setstate__(self, state): @@ -754,48 +1323,232 @@ class StreamingDataset(IterableDataset): table_state = state.pop("_table") perm_name, perm_data = state.pop("_perm_table") self.__dict__.update(state) + self._consumer_iterator_lock = threading.Lock() if self._connection_factory is not None: self._table = self._connection_factory(table_name) else: self._table = _table_from_pickle_state(table_state) + if table_state["kind"] == "memory": + # Rebuilt from Arrow, so the recorded pin cannot resolve on it. + perm_data = _drop_base_version(perm_data) self._perm_table = _connect("memory://").create_table(perm_name, perm_data) def state_dict(self) -> dict: """Snapshot the dataset's consumption state. - The returned dict is topology-independent: at global step boundaries - every split has been consumed the same number of times (by the - round-robin design), so the per-split count is a single uniform value - that is identical across all ranks and DataLoader workers. + When using DataLoader workers, construct a + [StreamingDataLoader][lancedb.streaming.StreamingDataLoader]. It + commits worker state only when a prefetched batch is returned to the + trainer. A standard multi-process ``DataLoader`` cannot expose that + boundary, so calling this method after one has started raises + ``RuntimeError`` instead of returning stale producer state. - ``positions_consumed_per_split`` records how far into each split's - permutation iteration has advanced. It only differs from - ``samples_consumed_per_split`` when ``on_transform_error`` skipped - rows, in which case entries are exact for the splits this instance - iterated and a lower bound (the sample count) for splits owned by - other ranks or workers. Combine the state dicts from all ranks with + In row mode, the returned dict is topology-independent at global step + boundaries. ``positions_consumed_per_split`` records how far each + split's permutation has advanced, which can differ from the sample + count when ``on_transform_error`` skips rows. ``StreamingDataLoader`` + combines worker state in its parent process. Combine state dicts from + every rank with [merge_state_dicts][lancedb.streaming.StreamingDataset.merge_state_dicts] - to recover the exact value for every split before resuming on a - different topology. + before resuming on a different topology. + + Packed state includes partial token buffers and emitted block counts + for every logical split. When packing is sharded, merge every rank + state with ``merge_state_dicts`` before loading it. """ + if self._untracked_worker_iteration[0] and get_worker_info() is None: + raise RuntimeError( + "StreamingDataset cannot checkpoint a standard DataLoader with " + "num_workers > 0 because prefetched worker progress is not " + "consumer-committed. Use StreamingDataLoader instead." + ) + if self._checkpoint_invalid_reason is not None: + raise RuntimeError( + "StreamingDataset checkpointing is invalid because " + f"{self._checkpoint_invalid_reason}. Load the last valid " + "checkpoint into a fresh dataset before continuing." + ) + state = self._checkpoint_snapshot() + if self._pack_sequences is not None: + rank_blocks = [ + state["blocks_emitted_per_split"][split] for split in self._rank_splits + ] + if len(set(rank_blocks)) > 1: + raise RuntimeError( + "Packed StreamingDataset checkpointing is only safe at a " + "complete logical step boundary, when every split assigned " + "to this rank has emitted the same block count. Consume more " + "batches before calling state_dict()." + ) + elif self._consumer_checkpoint_requires_uniform: + samples = state["samples_consumed_per_split"] + rank_samples = [samples[split] for split in self._rank_splits] + if len(set(rank_samples)) > 1: + raise RuntimeError( + "StreamingDataLoader checkpointing with multiple workers is " + "only safe at a complete logical step boundary, when every " + "split assigned to this rank has the same consumed-sample " + "count. Consume more batches before calling state_dict()." + ) + return state + + def _checkpoint_snapshot(self) -> dict: + if self._pack_sequences is not None: + return { + "shuffle_seed": self._shuffle_seed, + "num_splits": self._num_splits, + "epoch": self._epoch, + "pack_sequences": self._pack_sequences, + "eos_id": self._eos_id, + "pad_id": self._pad_id, + "blocks_per_epoch": self._blocks_per_epoch, + "samples_consumed_per_split": list(self._pack_consumed), + "blocks_emitted_per_split": list(self._pack_blocks_emitted), + "pack_buffers": deepcopy(self._pack_buffers), + } + samples = [ + self._resume_samples.get(split, self._resume_offset) + for split in range(self._num_splits) + ] positions = [ - self._resume_positions.get(split, self._resume_offset) + self._resume_positions.get(split, samples[split]) for split in range(self._num_splits) ] return { "shuffle_seed": self._shuffle_seed, "num_splits": self._num_splits, "epoch": self._epoch, - "samples_consumed_per_split": [self._resume_offset] * self._num_splits, + "samples_consumed_per_split": samples, "positions_consumed_per_split": positions, } + def _invalidate_checkpoint(self, reason: str) -> None: + if self._checkpoint_invalid_reason is None: + self._checkpoint_invalid_reason = reason + + @property + def _consumer_iterator_active(self) -> bool: + return self._consumer_iterator_lease is not None + + @property + def _consumer_iterator_owner(self) -> Optional[int]: + lease = self._consumer_iterator_lease + return lease.owner_token if lease is not None else None + + @property + def _consumer_iterator_owner_thread(self) -> Optional[int]: + lease = self._consumer_iterator_lease + return lease.owner_thread if lease is not None else None + + def _acquire_consumer_iterator(self) -> int: + """Reserve this parent dataset for one checkpoint-aware iterator.""" + with self._consumer_iterator_lock: + if self._consumer_iterator_active or self._raw_batches_ref is not None: + raise RuntimeError( + "StreamingDataset does not support concurrent iteration. " + "Only one active iterator per dataset instance is allowed." + ) + owner_thread = threading.get_ident() + owner_token = self._consumer_iterator_generation + 1 + lease = _ConsumerIteratorLease(owner_token, owner_thread) + self._consumer_iterator_generation = owner_token + self._consumer_iterator_lease = lease + return owner_token + + def _release_consumer_iterator(self, owner_token: int) -> None: + with self._consumer_iterator_lock: + lease = self._consumer_iterator_lease + if lease is not None and lease.owner_token == owner_token: + self._consumer_iterator_lease = None + + def _release_consumer_iterator_after_failed_acquire( + self, previous_lease: Optional[_ConsumerIteratorLease] + ) -> None: + """Clean up when an interrupted acquire set a lease but did not return it.""" + owner_thread = threading.current_thread().ident + with self._consumer_iterator_lock: + lease = self._consumer_iterator_lease + if ( + lease is not None + and lease is not previous_lease + and lease.owner_thread == owner_thread + ): + self._consumer_iterator_lease = None + + def _commit_worker_state(self, state: dict, *, require_uniform: bool) -> None: + """Merge one trainer-consumed worker batch into parent state.""" + for key, expected in ( + ("shuffle_seed", self._shuffle_seed), + ("num_splits", self._num_splits), + ("epoch", self._epoch), + ): + if state.get(key) != expected: + raise ValueError( + f"{key} mismatch in worker checkpoint: " + f"{state.get(key)} != {expected}" + ) + packed = "pack_buffers" in state + if packed != (self._pack_sequences is not None): + raise ValueError("worker checkpoint mode does not match the dataset") + if packed: + for key in ("pack_sequences", "eos_id", "pad_id", "blocks_per_epoch"): + expected = getattr(self, f"_{key}") + if state.get(key) != expected: + raise ValueError( + f"{key} mismatch in worker checkpoint: " + f"{state.get(key)} != {expected}" + ) + samples = state["samples_consumed_per_split"] + emitted = state["blocks_emitted_per_split"] + if len(samples) != self._num_splits or len(emitted) != self._num_splits: + raise ValueError( + "packed worker checkpoint must contain one entry per split" + ) + buffers = state["pack_buffers"] + for split, (count, blocks) in enumerate(zip(samples, emitted)): + incoming = (int(blocks), int(count)) + current = ( + self._pack_blocks_emitted[split], + self._pack_consumed[split], + ) + if incoming > current: + self._pack_blocks_emitted[split] = incoming[0] + self._pack_consumed[split] = incoming[1] + buffer = buffers.get(split, buffers.get(str(split))) + if buffer is None: + self._pack_buffers.pop(split, None) + else: + self._pack_buffers[split] = { + "tokens": list(buffer["tokens"]), + "starts": list(buffer["starts"]), + } + self._consumer_checkpoint_requires_uniform |= require_uniform + return + + samples = state["samples_consumed_per_split"] + positions = state.get("positions_consumed_per_split", samples) + for split, count in enumerate(samples): + current = self._resume_samples.get(split, self._resume_offset) + self._resume_samples[split] = max(current, int(count)) + for split, position in enumerate(positions): + current = self._resume_positions.get( + split, self._resume_samples.get(split, self._resume_offset) + ) + self._resume_positions[split] = max(current, int(position)) + self._resume_offset = min( + self._resume_samples.get(split, self._resume_offset) + for split in range(self._num_splits) + ) + self._consumer_checkpoint_requires_uniform |= require_uniform + def load_state_dict(self, state: dict) -> None: """Resume from a previously snapshotted state. Raises ``ValueError`` if ``num_splits`` or ``shuffle_seed`` differ from the checkpoint, since a different split structure or shuffle order - makes mid-epoch resumption meaningless. + makes mid-epoch resumption meaningless. Packed checkpoints + pin ``pack_sequences``, ``eos_id``, ``pad_id``, + ``blocks_per_epoch``, and ``epoch``. """ if state["num_splits"] != self._num_splits: raise ValueError( @@ -807,15 +1560,44 @@ class StreamingDataset(IterableDataset): f"shuffle_seed mismatch: checkpoint has {state['shuffle_seed']}, " f"current dataset has {self._shuffle_seed}" ) + self._consumer_checkpoint_requires_uniform = False + + if "pack_buffers" in state or self._pack_sequences is not None: + for key in ( + "pack_sequences", + "eos_id", + "pad_id", + "blocks_per_epoch", + "epoch", + ): + ours = getattr(self, f"_{key}") + if state.get(key) != ours: + raise ValueError( + f"{key} mismatch: checkpoint has {state.get(key)}, " + f"current dataset has {ours}" + ) + self._pack_consumed = [int(c) for c in state["samples_consumed_per_split"]] + self._pack_blocks_emitted = [ + int(c) for c in state["blocks_emitted_per_split"] + ] + self._pack_buffers = { + int(g): {"tokens": list(b["tokens"]), "starts": list(b["starts"])} + for g, b in state["pack_buffers"].items() + } + return + consumed = state["samples_consumed_per_split"] - # All entries are equal at step boundaries; use the first. if isinstance(consumed, list): - self._resume_offset = consumed[0] if consumed else 0 + self._resume_offset = min(consumed) if consumed else 0 + self._resume_samples = { + split: int(count) for split, count in enumerate(consumed) + } else: self._resume_offset = int(consumed) + self._resume_samples = {} # Older checkpoints predate positions_consumed_per_split; without # skipped rows positions equal sample counts, so falling back to - # _resume_offset (the .get default in __iter__) is exact. + # the per-split sample count (the .get default in __iter__) is exact. positions = state.get("positions_consumed_per_split") if positions is None: self._resume_positions = {} @@ -828,25 +1610,23 @@ class StreamingDataset(IterableDataset): def merge_state_dicts(states: list[dict]) -> dict: """Merge state dicts saved by different ranks into one exact state. - Only needed when ``on_transform_error`` skips rows in multi-rank - training: each rank then knows the exact permutation position only for - its own splits, and records a lower bound for the rest. Because - exactly one rank owns each split, the elementwise maximum across all - ranks' ``positions_consumed_per_split`` recovers the exact position of - every split. Without skipped rows every rank's state is already - identical and merging is a no-op. + In row mode, each rank records exact consumer-committed progress for + its own splits and lower bounds for the rest, so elementwise maxima + recover both sample counts and permutation positions. In packed mode, + the state that emitted the most blocks for each logical split supplies + that split's permutation position and partial token buffer. Packed + states must cover every rank at the same global step. - Raises ``ValueError`` if the states are empty or were not produced by - the same run (mismatched seed, split count, epoch, or sample counts). + Raises ``ValueError`` if the states are empty, were not produced by + the same run, or do not represent the same global step. The merge is always all-to-all and topology-agnostic: collect the - ``state_dict()`` from every rank of the *previous* run into one list, - merge that whole list, and hand the identical merged result to every - rank of the *next* run — regardless of whether the rank count grew, - shrank, or stayed the same. There is no pairwise or subset merging - step, because each split's exact position is only known to whichever - rank owned that split, and the elementwise maximum needs every rank's - contribution to be correct. + ``state_dict()`` from every rank of the *previous* run into + one list, merge that whole list, and hand the identical merged result + to every rank of the *next* run — regardless of whether the + topology grew, shrank, or stayed the same. There is no pairwise or + subset merging step, because each split's exact state is only known to + whichever iterator owned that split. For example, checkpointing 8 ranks and resuming on 4 (the same pattern applies when growing, e.g. 4 ranks resuming on 8):: @@ -879,23 +1659,79 @@ class StreamingDataset(IterableDataset): if not states: raise ValueError("merge_state_dicts requires at least one state dict") first = states[0] + packed = "pack_buffers" in first + config_keys = ["shuffle_seed", "num_splits", "epoch"] + if packed: + config_keys.extend( + ["pack_sequences", "eos_id", "pad_id", "blocks_per_epoch"] + ) + for state in states[1:]: - for key in ("shuffle_seed", "num_splits", "epoch"): + if ("pack_buffers" in state) != packed: + raise ValueError("cannot merge packed and unpacked state dicts") + for key in config_keys: if state[key] != first[key]: raise ValueError( f"{key} mismatch across state dicts: " f"{state[key]} != {first[key]}" ) - if ( - state["samples_consumed_per_split"] - != first["samples_consumed_per_split"] - ): - raise ValueError( - "samples_consumed_per_split mismatch across state dicts; " - "state_dict() must be called at the same global step " - "boundary on every rank" + + if packed: + num_splits = first["num_splits"] + for state in states: + for key in ( + "samples_consumed_per_split", + "blocks_emitted_per_split", + ): + if len(state[key]) != num_splits: + raise ValueError( + f"{key} must contain one entry per logical split" + ) + + merged_consumed = [] + merged_emitted = [] + merged_buffers = {} + for split in range(num_splits): + owner = states[0] + owner_progress = ( + owner["blocks_emitted_per_split"][split], + owner["samples_consumed_per_split"][split], ) + for state in states[1:]: + progress = ( + state["blocks_emitted_per_split"][split], + state["samples_consumed_per_split"][split], + ) + if progress > owner_progress: + owner = state + owner_progress = progress + merged_consumed.append(owner["samples_consumed_per_split"][split]) + merged_emitted.append(owner["blocks_emitted_per_split"][split]) + buffer = owner["pack_buffers"].get( + split, owner["pack_buffers"].get(str(split)) + ) + if buffer is not None: + merged_buffers[split] = deepcopy(buffer) + + if len(set(merged_emitted)) > 1: + raise ValueError( + "packed state dicts were not captured at the same global " + "step or do not cover every rank" + ) + + merged = dict(first) + merged["samples_consumed_per_split"] = merged_consumed + merged["blocks_emitted_per_split"] = merged_emitted + merged["pack_buffers"] = merged_buffers + return merged + merged = dict(first) + merged["samples_consumed_per_split"] = [ + max(per_split) + for per_split in zip( + *(state["samples_consumed_per_split"] for state in states) + ) + ] all_positions = [ state.get( "positions_consumed_per_split", state["samples_consumed_per_split"] @@ -906,3 +1742,113 @@ class StreamingDataset(IterableDataset): max(per_split) for per_split in zip(*all_positions) ] return merged + + +class StreamingDataLoader(DataLoader): + """A PyTorch DataLoader with consumer-committed dataset checkpoints. + + PyTorch workers prefetch batches ahead of the trainer, so worker-local + producer progress is not a safe checkpoint. This loader carries a state + snapshot alongside every internal batch and applies it to the parent + [StreamingDataset][lancedb.streaming.StreamingDataset] only when that batch + is returned by ``next()``. + The trainer receives the same collated batch it would receive from a + standard ``torch.utils.data.DataLoader``. + + With more than one worker, row-mode ``state_dict()`` is available only at + complete logical step boundaries, when every split assigned to the rank has + the same consumed-sample count. Packed checkpoints require equal emitted-block + counts across the rank's splits for any worker count. ``persistent_workers=True`` + is not supported because prefetched worker copies cannot be restored from + parent-committed state. If batch collation raises, checkpointing remains + invalid for that dataset instance; restore the last valid checkpoint into a + fresh dataset before continuing. + Only one active iterator may own a dataset at a time, including when worker + processes are used. Exhausting or explicitly shutting down the iterator + releases that ownership. ``drop_last=True`` is not supported because worker + replicas discard incomplete tails independently, which cannot produce a + topology-independent checkpoint. + + Parameters are the same as ``torch.utils.data.DataLoader`` except that + ``dataset`` must be a + [StreamingDataset][lancedb.streaming.StreamingDataset]. + Subclasses that override ``StreamingDataset.__iter__`` are not supported + because the custom iterator cannot provide the exact per-yield checkpoint + snapshots required by this loader. + + Examples + -------- + >>> # dataset = StreamingDataset(table, num_splits=2) + >>> # loader = StreamingDataLoader(dataset, batch_size=8, num_workers=2) + >>> # batch = next(iter(loader)) + >>> # checkpoint = dataset.state_dict() + """ + + def __init__(self, dataset: StreamingDataset, *args, **kwargs): + if not isinstance(dataset, StreamingDataset): + raise TypeError("StreamingDataLoader requires a StreamingDataset") + if type(dataset).__iter__ is not StreamingDataset.__iter__: + raise TypeError( + "StreamingDataLoader does not support StreamingDataset subclasses " + "that override __iter__ because they cannot provide exact " + "per-yield checkpoint state" + ) + if kwargs.get("in_order", True) is False: + raise ValueError( + "StreamingDataLoader requires in_order=True for deterministic " + "consumer checkpoints" + ) + if kwargs.get("persistent_workers", False): + raise ValueError( + "StreamingDataLoader does not support persistent_workers=True " + "because worker prefetch state cannot be reset from a checkpoint" + ) + self._streaming_dataset = dataset + super().__init__(_StreamingDatasetAdapter(dataset), *args, **kwargs) + if self.drop_last: + raise ValueError( + "StreamingDataLoader does not support drop_last=True because " + "discarded worker tails cannot be checkpointed " + "topology-independently" + ) + self.collate_fn = _CheckpointCollate(self.collate_fn) + + def __iter__(self): + dataset = self._streaming_dataset + previous_lease = dataset._consumer_iterator_lease + owner_token = None + try: + owner_token = dataset._acquire_consumer_iterator() + state = dataset._checkpoint_snapshot() + packed = dataset._pack_sequences is not None + if packed: + blocks = state["blocks_emitted_per_split"] + rank_blocks = [blocks[split] for split in dataset._rank_splits] + if len(set(rank_blocks)) > 1: + raise RuntimeError( + "StreamingDataLoader cannot start from a partial packed " + "logical step; resume from a checkpoint whose splits " + "assigned to this rank have equal emitted-block counts" + ) + elif self.num_workers > 1: + samples = state["samples_consumed_per_split"] + rank_samples = [samples[split] for split in dataset._rank_splits] + if len(set(rank_samples)) > 1: + raise RuntimeError( + "StreamingDataLoader cannot start multiple workers from a " + "partial logical step; resume from a checkpoint whose " + "splits assigned to this rank have equal consumed-sample " + "counts" + ) + return _ConsumerCommitIterator( + super().__iter__(), + dataset, + owner_token=owner_token, + require_uniform=self.num_workers > 1 or packed, + ) + except BaseException: + if owner_token is not None: + dataset._release_consumer_iterator(owner_token) + else: + dataset._release_consumer_iterator_after_failed_acquire(previous_lease) + raise diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index 036ed8486..2f2a092a1 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -41,7 +41,7 @@ from ._blob import ( from .types import BlobMode from lancedb.arrow import peek_reader from lancedb.background_loop import LOOP, embedding_executor -from lancedb.job import AsyncJob, Job +from lancedb.job import AsyncJob, Job, _typed_job from .dependencies import ( _check_for_hugging_face, _check_for_lance, @@ -73,7 +73,10 @@ from .index import ( FTS, ) from .expr import Expr -from .functions import FunctionApplication +from .functions import ( + FunctionApplication, + RefreshColumnResult as RefreshColumnJobResult, +) from .merge import LanceMergeInsertBuilder from .pydantic import LanceModel, model_to_dict from .query import ( @@ -83,6 +86,7 @@ from .query import ( AsyncQuery, AsyncTakeQuery, AsyncVectorQuery, + DocumentGranularity, FullTextQuery, LanceEmptyQueryBuilder, LanceFtsQueryBuilder, @@ -1248,6 +1252,7 @@ class Table(ABC): ngram_max_length: int = 3, prefix_only: bool = False, block_size: int = 128, + document_granularity: DocumentGranularity = DocumentGranularity.ROW, wait_timeout: Optional[timedelta] = None, name: Optional[str] = None, ): @@ -1326,6 +1331,11 @@ class Table(ABC): The number of documents per compressed posting block. Must be 128 or 256. A value of 256 uses the experimental FTS V3 format and may introduce breaking changes. + document_granularity: DocumentGranularity, default ROW + ``ROW`` treats the selected text in one table row as one document. + ``LIST_ELEMENT`` treats each element of the deepest list on the field + path as one document and returns its physical coordinates in + ``_doc_index`` for matching queries. wait_timeout: timedelta, optional The timeout to wait if indexing is asynchronous. name: str, optional @@ -1349,6 +1359,7 @@ class Table(ABC): fill_value: float = 0.0, progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, + allow_external_blob_outside_bases: bool = False, ) -> AddResult: """Add more data to the [Table][lancedb.table.Table]. @@ -1400,6 +1411,10 @@ class Table(ABC): data in flight. Defaults to an estimate based on the data size, capped at the number of CPU cores. Lower this if bulk ingestion is using too much memory. + allow_external_blob_outside_bases: bool, default False + Store blob URIs that sit outside registered blob bases. The row + keeps a reference, so the object has to stay readable. Local + tables only. Returns ------- @@ -2058,7 +2073,7 @@ class Table(ABC): A mapping with one ``FunctionApplication`` value keeps its scalar or named-struct result in the named table column. A bare named-struct application expands its ordered result fields as one - atomic sibling group; aliases come from ``rename(columns=...)``. + atomic binding; aliases come from ``rename(columns=...)``. Function columns are supported only on LanceDB Cloud and Enterprise. computed: Dict[str, str], optional @@ -2128,7 +2143,7 @@ class Table(ABC): """ @abstractmethod - def refresh_column_async(self, column: str) -> Job: + def refresh_column_async(self, column: str) -> Job[RefreshColumnJobResult]: """ Like :meth:`refresh_column`, but returns a handle to the refresh job instead of blocking until it completes. @@ -2139,6 +2154,12 @@ class Table(ABC): than failing the job. On local tables the job runs in-process; on LanceDB Cloud and Enterprise it is the server's backfill job. + Returns + ------- + Job[RefreshColumnResult] + A job whose successful ``wait`` returns row counts plus the source + and published table versions. + Examples -------- >>> import lancedb @@ -2147,7 +2168,9 @@ class Table(ABC): >>> table.add_columns(computed={"doubled": "x * 2"}) AddColumnsResult(version=2) >>> job = table.refresh_column_async("doubled") - >>> job.wait() + >>> result = job.wait() + >>> result.rows_assigned + 2 >>> job.status() 'finished' """ @@ -2193,12 +2216,25 @@ class Table(ABC): ---------- updates : dict One or more dicts, each with: + - "path": str — dot-path to the field (e.g. "embedding" or "a.b.c"). - "metadata": dict[str, str | None] — keys to set; a value of ``None`` deletes that key. - "replace": bool, optional — replace the field's whole metadata map instead of merging (default False). + The following keys are treated specially, by convention, and should + be used when appropriate: + + - "lancedb:description": for a human-readable description of a field. + - ``"lancedb:tag:"`` for a user-defined key-value tag, where the + suffix names the tag category; e.g. "lancedb:tag:model": "clip". + - "lancedb:logical-column" for a column grouping; e.g. "feature_v1" + and "feature_v2" might be in the same logical column. + - "lancedb:status" for status options ("production", "candidate", + "deprecated", "archived") to designate the current life cycle + state of this column. + Returns ------- UpdateFieldMetadataResult @@ -3346,6 +3382,7 @@ class LanceTable(Table): ngram_max_length: int = 3, prefix_only: bool = False, block_size: int = 128, + document_granularity: DocumentGranularity = DocumentGranularity.ROW, name: Optional[str] = None, ): """Create a full-text search index on a column. @@ -3397,7 +3434,11 @@ class LanceTable(Table): tokenizer_configs = self.infer_tokenizer_configs(tokenizer_name) tokenizer_configs["custom_stop_words"] = custom_stop_words - config = FTS(block_size=block_size, **tokenizer_configs) + config = FTS( + block_size=block_size, + document_granularity=document_granularity, + **tokenizer_configs, + ) try: LOOP.run( @@ -3487,6 +3528,7 @@ class LanceTable(Table): fill_value: float = 0.0, progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, + allow_external_blob_outside_bases: bool = False, ) -> AddResult: """Add data to the table. If vector columns are missing and the table @@ -3514,6 +3556,9 @@ class LanceTable(Table): data in flight. Defaults to an estimate based on the data size, capped at the number of CPU cores. Lower this if bulk ingestion is using too much memory. + allow_external_blob_outside_bases: bool, default False + Allow blob URIs outside registered bases. See :meth:`Table.add`. + Local tables only. Returns ------- @@ -3530,6 +3575,7 @@ class LanceTable(Table): fill_value=fill_value, progress=progress, write_parallelism=write_parallelism, + allow_external_blob_outside_bases=allow_external_blob_outside_bases, ) ) finally: @@ -4178,7 +4224,7 @@ class LanceTable(Table): [`AsyncTable.refresh_column`][lancedb.AsyncTable.refresh_column].""" return LOOP.run(self._table.refresh_column(column)) - def refresh_column_async(self, column: str) -> Job: + def refresh_column_async(self, column: str) -> Job[RefreshColumnJobResult]: """Fill a computed column's unfilled rows, returning a handle to the refresh job. See [`Table.refresh_column_async`][lancedb.table.Table.refresh_column_async]. @@ -5450,6 +5496,7 @@ class AsyncTable: fill_value: Optional[float] = None, progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, + allow_external_blob_outside_bases: bool = False, ) -> AddResult: """Add more data to the [AsyncTable][lancedb.table.AsyncTable]. @@ -5480,6 +5527,9 @@ class AsyncTable: data in flight. Defaults to an estimate based on the data size, capped at the number of CPU cores. Lower this if bulk ingestion is using too much memory. + allow_external_blob_outside_bases: bool, default False + Allow blob URIs outside registered bases. See :meth:`Table.add`. + Local tables only. """ schema = await self.schema() @@ -5516,6 +5566,7 @@ class AsyncTable: mode or "append", progress=progress, write_parallelism=write_parallelism, + allow_external_blob_outside_bases=allow_external_blob_outside_bases, ) except RuntimeError as e: if "Cast error" in str(e): @@ -6123,7 +6174,7 @@ class AsyncTable: A mapping with one ``FunctionApplication`` value keeps its scalar or named-struct result in the named table column. A bare named-struct application expands its ordered result fields as one - atomic sibling group; aliases come from ``rename(columns=...)``. + atomic binding; aliases come from ``rename(columns=...)``. Function columns are supported only on LanceDB Cloud and Enterprise. computed: Dict[str, str], optional @@ -6160,7 +6211,7 @@ class AsyncTable: isinstance(value, FunctionApplication) for value in transforms.values() ): raise ValueError( - "one add_columns call declares exactly one Function sibling group" + "one add_columns call declares exactly one Function binding" ) function_output_name, function_application = next(iter(transforms.items())) @@ -6218,7 +6269,9 @@ class AsyncTable: """ return await self._inner.refresh_column(column) - async def refresh_column_async(self, column: str) -> AsyncJob: + async def refresh_column_async( + self, column: str + ) -> AsyncJob[RefreshColumnJobResult]: """ Like :meth:`refresh_column`, but returns a handle to the refresh job instead of blocking until it completes. @@ -6230,6 +6283,12 @@ class AsyncTable: in-process; on LanceDB Cloud and Enterprise it is the server's backfill job. + Returns + ------- + AsyncJob[RefreshColumnResult] + A job whose successful ``wait`` returns row counts plus the source + and published table versions. + Examples -------- >>> import asyncio @@ -6239,12 +6298,16 @@ class AsyncTable: ... table = await db.create_table("computed_job_async_demo", [{"x": 1}]) ... await table.add_columns(computed={"doubled": "x * 2"}) ... job = await table.refresh_column_async("doubled") - ... await job.wait() + ... result = await job.wait() + ... assert result.rows_assigned == 1 ... return await job.status() >>> asyncio.run(refresh_in_background()) 'finished' """ - return AsyncJob(await self._inner.refresh_column_async(column)) + return _typed_job( + await self._inner.refresh_column_async(column), + RefreshColumnJobResult.from_json, + ) async def alter_columns( self, *alterations: Iterable[dict[str, Any]] diff --git a/python/python/tests/docs/test_basic.py b/python/python/tests/docs/test_basic.py index 2a824371f..35d7aac10 100644 --- a/python/python/tests/docs/test_basic.py +++ b/python/python/tests/docs/test_basic.py @@ -105,7 +105,7 @@ def test_quickstart(tmp_path): tbl.create_index(num_sub_vectors=1) # --8<-- [end:create_index] # --8<-- [start:delete_rows] - tbl.delete('item = "fizz"') + tbl.delete("item = 'fizz'") # --8<-- [end:delete_rows] # --8<-- [start:drop_table] db.drop_table("my_table") @@ -201,7 +201,7 @@ async def test_quickstart_async(tmp_path): await tbl.create_index("vector") # --8<-- [end:create_index_async] # --8<-- [start:delete_rows_async] - await tbl.delete('item = "fizz"') + await tbl.delete("item = 'fizz'") # --8<-- [end:delete_rows_async] # --8<-- [start:drop_table_async] await db.drop_table("my_table_async") diff --git a/python/python/tests/docs/test_guide_tables.py b/python/python/tests/docs/test_guide_tables.py index 9ae86d167..dab8d43e9 100644 --- a/python/python/tests/docs/test_guide_tables.py +++ b/python/python/tests/docs/test_guide_tables.py @@ -266,7 +266,7 @@ def test_table(): tbl.add(pydantic_model_items) # --8<-- [end:add_table_from_pydantic] # --8<-- [start:delete_row] - tbl.delete('item = "fizz"') + tbl.delete("item = 'fizz'") # --8<-- [end:delete_row] # --8<-- [start:delete_specific_row] data = [ @@ -538,7 +538,7 @@ async def test_table_async(): await async_tbl.add(pydantic_model_items) # --8<-- [end:add_table_async_from_pydantic] # --8<-- [start:delete_row_async] - await async_tbl.delete('item = "fizz"') + await async_tbl.delete("item = 'fizz'") # --8<-- [end:delete_row_async] # --8<-- [start:delete_specific_row_async] data = [ diff --git a/python/python/tests/test_blob.py b/python/python/tests/test_blob.py index b205c20a6..5d7682f24 100644 --- a/python/python/tests/test_blob.py +++ b/python/python/tests/test_blob.py @@ -617,3 +617,71 @@ def test_fetch_blobs_nested_path_survives_sort_after_query(): def _identifiable_payload(size: int) -> bytes: block = 256 return b"".join(bytes([i % 256]) * block for i in range(size // block)) + + +def _external_uri_blob_array(uris): + blob_type = lancedb.blob("image").type + storage_type = blob_type.storage_type + child_names = [field.name for field in storage_type] + assert "uri" in child_names, "blob layout no longer has a uri child" + children = [ + pa.array(uris if field.name == "uri" else [None] * len(uris), type=field.type) + for field in storage_type + ] + storage = pa.StructArray.from_arrays(children, fields=list(storage_type)) + return pa.ExtensionArray.from_storage(blob_type, storage) + + +def _external_uri_table_and_rows(name, uris): + db = lancedb.connect("memory:///") + schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")]) + table = db.create_table(name, schema=schema) + rows = pa.Table.from_arrays( + [ + pa.array(range(len(uris)), type=pa.int64()), + _external_uri_blob_array(uris), + ], + schema=schema, + ) + return table, rows + + +def test_add_external_uri_struct_round_trips_with_flag(tmp_path): + payload = b"external-uri-bytes" + blob_path = tmp_path / "payload.bin" + blob_path.write_bytes(payload) + + table, rows = _external_uri_table_and_rows("external_struct", [blob_path.as_uri()]) + table.add(rows, allow_external_blob_outside_bases=True) + + hits = table.search().to_arrow() + blobs = table.fetch_blobs("image", hits) + assert blobs[0].as_py() == payload + + +def test_add_external_uri_without_flag_raises(tmp_path): + blob_path = tmp_path / "payload.bin" + blob_path.write_bytes(b"unreachable") + + table, rows = _external_uri_table_and_rows("external_no_flag", [blob_path.as_uri()]) + with pytest.raises(ValueError, match="allow_external_blob_outside_bases"): + table.add(rows) + assert table.count_rows() == 0 + + +def test_add_external_uri_string_round_trips_with_flag(tmp_path): + payload = b"external-uri-bytes" + blob_path = tmp_path / "payload.bin" + blob_path.write_bytes(payload) + + db = lancedb.connect("memory:///") + schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")]) + table = db.create_table("external_string", schema=schema) + table.add( + [{"id": 1, "image": blob_path.as_uri()}], + allow_external_blob_outside_bases=True, + ) + + hits = table.search().to_arrow() + blobs = table.fetch_blobs("image", hits) + assert blobs[0].as_py() == payload diff --git a/python/python/tests/test_db.py b/python/python/tests/test_db.py index 38bbb53fb..aeb9feeb8 100644 --- a/python/python/tests/test_db.py +++ b/python/python/tests/test_db.py @@ -774,7 +774,7 @@ def test_drop_table_async(tmp_db: lancedb.DBConnection): job = tmp_db.drop_table_async("test") assert job.id is None assert job.status() == "finished" - job.wait() + assert job.wait() is None assert tmp_db.table_names() == [] tmp_db.create_table("test", data=data) @@ -790,7 +790,7 @@ async def test_drop_table_async_connection(tmp_db_async: lancedb.AsyncConnection job = await tmp_db_async.drop_table_async("test") assert job.id is None assert await job.status() == "finished" - await job.wait() + assert await job.wait() is None assert await tmp_db_async.table_names() == [] diff --git a/python/python/tests/test_elastic_dataloader.py b/python/python/tests/test_elastic_dataloader.py index 0c1a70765..da27e5bfc 100644 --- a/python/python/tests/test_elastic_dataloader.py +++ b/python/python/tests/test_elastic_dataloader.py @@ -32,6 +32,7 @@ Parameters used throughout: import dataclasses import logging +import threading from unittest.mock import patch import lancedb @@ -46,6 +47,7 @@ from utils import ( torch = pytest.importorskip("torch") streaming = pytest.importorskip("lancedb.streaming") StreamingDataset = streaming.StreamingDataset +StreamingDataLoader = streaming.StreamingDataLoader # --------------------------------------------------------------------------- # Dataset parameters @@ -92,6 +94,27 @@ class FakeWorkerInfo: num_workers: int +def _collate_with_first_batch_error(samples): + ids = [sample["id"] for sample in samples] + if ids == [0, 1]: + raise ValueError("first batch fails") + return ids + + +def _collate_with_first_batch_stop(samples): + ids = [sample["id"] for sample in samples] + if ids == [0, 1]: + raise StopIteration("first batch stopped") + return ids + + +def _collate_with_first_batch_interrupt(samples): + ids = [sample["id"] for sample in samples] + if ids == [0, 1]: + raise KeyboardInterrupt("first batch interrupted") + return ids + + # --------------------------------------------------------------------------- # Fixtures # --------------------------------------------------------------------------- @@ -1008,6 +1031,565 @@ def test_multi_worker_elastic_det_across_worker_counts(lance_table): # ── Resumability with num_workers ───────────────────────────────────────────── +def test_streaming_dataloader_commits_only_consumed_worker_batches(tmp_path): + """Prefetched worker state is committed only as the trainer receives it.""" + db = lancedb.connect(tmp_path) + table = db.create_table( + "worker_commit", pa.table({"id": [1, 2, 3, 4, 10, 20, 30, 40]}) + ) + dataset = StreamingDataset(table, num_splits=2, shuffle=False) + loader = StreamingDataLoader( + dataset, + batch_size=2, + num_workers=2, + multiprocessing_context="spawn", + prefetch_factor=4, + ) + iterator = iter(loader) + try: + first = next(iterator)["id"].tolist() + + assert first == [1, 2] + assert dataset._checkpoint_snapshot()["samples_consumed_per_split"] == [2, 0] + with pytest.raises(RuntimeError, match="complete logical step boundary"): + dataset.state_dict() + + second = next(iterator)["id"].tolist() + assert second == [10, 20] + checkpoint = dataset.state_dict() + assert checkpoint["samples_consumed_per_split"] == [2, 2] + uninterrupted = [batch["id"].tolist() for batch in iterator] + finally: + iterator._shutdown_workers() + + resumed = StreamingDataset(table, num_splits=2, shuffle=False) + resumed.load_state_dict(checkpoint) + resumed_loader = StreamingDataLoader( + resumed, + batch_size=2, + num_workers=2, + multiprocessing_context="spawn", + prefetch_factor=4, + ) + resumed_iterator = iter(resumed_loader) + try: + remaining = [batch["id"].tolist() for batch in resumed_iterator] + finally: + resumed_iterator._shutdown_workers() + assert remaining == uninterrupted == [[3, 4], [30, 40]] + + +def test_distributed_checkpoint_uses_rank_local_worker_boundary(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("rank_boundary", pa.table({"id": list(range(8))})) + dataset = StreamingDataset( + table, + num_splits=4, + shuffle=False, + rank=0, + world_size=2, + ) + loader = StreamingDataLoader( + dataset, + batch_size=1, + num_workers=2, + multiprocessing_context="spawn", + ) + iterator = iter(loader) + try: + assert next(iterator)["id"].tolist() == [0] + assert dataset._checkpoint_snapshot()["samples_consumed_per_split"] == [ + 1, + 0, + 0, + 0, + ] + with pytest.raises(RuntimeError, match="complete logical step boundary"): + dataset.state_dict() + + assert next(iterator)["id"].tolist() == [2] + checkpoint = dataset.state_dict() + remaining = [batch["id"].tolist() for batch in iterator] + finally: + iterator._shutdown_workers() + + assert checkpoint["samples_consumed_per_split"] == [1, 1, 0, 0] + assert remaining == [[1], [3]] + + +def test_standard_dataloader_rejects_stale_parent_checkpoint(tmp_path): + """A standard DataLoader must not expose prefetched producer progress.""" + db = lancedb.connect(tmp_path) + table = db.create_table("untracked_workers", pa.table({"id": [1, 2, 10, 20]})) + dataset = StreamingDataset(table, num_splits=2, shuffle=False) + # Merely constructing the checkpoint-aware loader must not authorize a + # later plain DataLoader's worker progress. + StreamingDataLoader(dataset, batch_size=2, num_workers=0) + loader = torch.utils.data.DataLoader( + dataset, + batch_size=2, + num_workers=2, + multiprocessing_context="spawn", + ) + iterator = iter(loader) + try: + assert next(iterator)["id"].tolist() == [1, 2] + with pytest.raises(RuntimeError, match="Use StreamingDataLoader"): + dataset.state_dict() + list(iterator) + finally: + iterator._shutdown_workers() + + +def test_streaming_dataloader_rejects_persistent_workers(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("persistent_workers", pa.table({"id": [1, 2]})) + dataset = StreamingDataset(table, num_splits=2, shuffle=False) + + with pytest.raises(ValueError, match="persistent_workers=True"): + StreamingDataLoader( + dataset, + batch_size=1, + num_workers=2, + persistent_workers=True, + ) + + +def test_collate_failure_invalidates_consumer_checkpoint(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table( + "collate_failure", pa.table({"id": [0, 1, 2, 3, 100, 101, 102, 103]}) + ) + dataset = StreamingDataset(table, num_splits=2, shuffle=False) + loader = StreamingDataLoader( + dataset, + batch_size=2, + num_workers=2, + multiprocessing_context="spawn", + collate_fn=_collate_with_first_batch_error, + prefetch_factor=2, + ) + iterator = iter(loader) + try: + with pytest.raises(ValueError, match="first batch fails"): + next(iterator) + assert next(iterator) == [100, 101] + assert next(iterator) == [2, 3] + with pytest.raises(RuntimeError, match="failed before it was returned"): + dataset.state_dict() + list(iterator) + finally: + iterator._shutdown_workers() + + +def test_collate_stop_iteration_invalidates_consumer_checkpoint(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("collate_stop", pa.table({"id": list(range(6))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader( + dataset, + batch_size=2, + num_workers=0, + collate_fn=_collate_with_first_batch_stop, + ) + iterator = iter(loader) + + with pytest.raises(RuntimeError, match="collate_fn raised StopIteration"): + next(iterator) + assert dataset._checkpoint_snapshot()["samples_consumed_per_split"] == [2] + with pytest.raises(RuntimeError, match="failed before it was returned"): + dataset.state_dict() + assert list(iterator) == [[2, 3], [4, 5]] + + +def test_batch_base_exception_invalidates_consumer_checkpoint(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("collate_interrupt", pa.table({"id": list(range(6))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader( + dataset, + batch_size=2, + num_workers=0, + collate_fn=_collate_with_first_batch_interrupt, + ) + iterator = iter(loader) + + with pytest.raises(KeyboardInterrupt, match="first batch interrupted"): + next(iterator) + assert dataset._checkpoint_snapshot()["samples_consumed_per_split"] == [2] + with pytest.raises(RuntimeError, match="failed before it was returned"): + dataset.state_dict() + assert list(iterator) == [[2, 3], [4, 5]] + + +def test_parent_commit_base_exception_invalidates_consumer_checkpoint(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("commit_interrupt", pa.table({"id": list(range(4))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader(dataset, batch_size=2, num_workers=0) + iterator = iter(loader) + real_commit = dataset._commit_worker_state + + def interrupt_after_commit(state, *, require_uniform): + real_commit(state, require_uniform=require_uniform) + raise KeyboardInterrupt("after parent commit") + + with patch.object( + dataset, "_commit_worker_state", side_effect=interrupt_after_commit + ): + with pytest.raises(KeyboardInterrupt, match="after parent commit"): + next(iterator) + + assert dataset._checkpoint_snapshot()["samples_consumed_per_split"] == [2] + with pytest.raises(RuntimeError, match="failed before it was returned"): + dataset.state_dict() + + +def test_direct_iteration_surfaces_prefetch_failure_before_committing_row( + tmp_path, monkeypatch +): + db = lancedb.connect(tmp_path) + table = db.create_table("prefetch_failure", pa.table({"id": list(range(4))})) + release = threading.Event() + failed = threading.Event() + real_getitems = streaming.Permutation.__getitems__ + + def controlled_getitems(permutation, indices): + if indices and indices[0] >= 2: + assert release.wait(timeout=5) + failed.set() + raise RuntimeError("later prefetched I/O failed") + return real_getitems(permutation, indices) + + class SignalDict(dict): + def __setitem__(self, key, value): + super().__setitem__(key, value) + release.set() + assert failed.wait(timeout=5) + + monkeypatch.setattr(streaming.Permutation, "__getitems__", controlled_getitems) + dataset = StreamingDataset( + table, + num_splits=1, + shuffle=False, + read_batch_size=2, + io_queue_depth=2, + ) + dataset._resume_positions = SignalDict() + iterator = iter(dataset) + + assert next(iterator)["id"] == 0 + with pytest.raises(RuntimeError, match="later prefetched I/O failed"): + next(iterator) + + checkpoint = dataset.state_dict() + assert checkpoint["samples_consumed_per_split"] == [1] + assert checkpoint["positions_consumed_per_split"] == [1] + + +@pytest.mark.parametrize("workers", [0, 1, 2]) +def test_streaming_dataloader_rejects_drop_last(tmp_path, workers): + db = lancedb.connect(tmp_path) + table = db.create_table("drop_last", pa.table({"id": [0, 1, 2]})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + worker_options = {"multiprocessing_context": "spawn"} if workers else {} + + with pytest.raises(ValueError, match="drop_last=True"): + StreamingDataLoader( + dataset, + batch_size=2, + num_workers=workers, + drop_last=True, + **worker_options, + ) + + +def test_streaming_dataloader_owns_one_iterator_until_teardown(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("iterator_owner", pa.table({"id": list(range(4))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader( + dataset, + batch_size=2, + num_workers=1, + multiprocessing_context="spawn", + ) + + first = iter(loader) + try: + assert next(first)["id"].tolist() == [0, 1] + with pytest.raises(RuntimeError, match="concurrent iteration"): + iter(loader) + finally: + first._shutdown_workers() + + second = iter(loader) + try: + assert [batch["id"].tolist() for batch in second] == [[2, 3]] + except BaseException: + second._shutdown_workers() + raise + + # Natural exhaustion releases ownership too. + third = iter(loader) + try: + assert list(third) == [] + finally: + third._shutdown_workers() + + +def test_zero_worker_shutdown_closes_inner_iterator_before_release(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("zero_worker_shutdown", pa.table({"id": list(range(6))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader(dataset, batch_size=2, num_workers=0) + + first = iter(loader) + assert next(first)["id"].tolist() == [0, 1] + first._shutdown_workers() + + assert dataset._consumer_iterator_active is False + assert dataset._raw_batches_ref is None + second = iter(loader) + try: + with pytest.raises(StopIteration): + next(first) + assert next(second)["id"].tolist() == [2, 3] + finally: + second._shutdown_workers() + + +def test_direct_and_loader_admission_share_one_atomic_lease(tmp_path, monkeypatch): + db = lancedb.connect(tmp_path) + table = db.create_table("direct_loader_lease", pa.table({"id": list(range(4))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader(dataset, batch_size=2, num_workers=0) + entered = threading.Event() + release = threading.Event() + direct_result = [] + direct_error = [] + contender = [] + real_resolve = dataset._resolve_my_splits + + def controlled_resolve(): + if threading.current_thread().name == "direct-start": + entered.set() + assert release.wait(timeout=5) + return real_resolve() + + def advance_direct(iterator): + try: + direct_result.append(next(iterator)["id"]) + except BaseException as exc: + direct_error.append(exc) + + monkeypatch.setattr(dataset, "_resolve_my_splits", controlled_resolve) + direct = iter(dataset) + thread = threading.Thread( + target=advance_direct, args=(direct,), name="direct-start" + ) + thread.start() + assert entered.wait(timeout=5) + try: + with pytest.raises(RuntimeError, match="concurrent iteration"): + contender.append(iter(loader)) + finally: + release.set() + thread.join(timeout=5) + if contender: + contender[0]._shutdown_workers() + direct.close() + + assert not thread.is_alive() + assert direct_error == [] + assert direct_result == [0] + + +def test_loader_acquires_before_snapshot_and_cleans_interrupted_acquire( + tmp_path, monkeypatch +): + db = lancedb.connect(tmp_path) + table = db.create_table("lease_snapshot", pa.table({"id": list(range(4))})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader(dataset, batch_size=2, num_workers=0) + first = iter(loader) + assert next(first)["id"].tolist() == [0, 1] + + entered = threading.Event() + release = threading.Event() + pending = [] + pending_errors = [] + observed_snapshots = [] + real_acquire = dataset._acquire_consumer_iterator + real_snapshot = dataset._checkpoint_snapshot + + def controlled_acquire(): + if threading.current_thread().name == "stale-start": + entered.set() + assert release.wait(timeout=5) + return real_acquire() + + def recording_snapshot(): + state = real_snapshot() + if threading.current_thread().name == "stale-start": + observed_snapshots.append(state["samples_consumed_per_split"]) + return state + + def create_pending_iterator(): + try: + pending.append(iter(loader)) + except BaseException as exc: + pending_errors.append(exc) + + monkeypatch.setattr(dataset, "_acquire_consumer_iterator", controlled_acquire) + monkeypatch.setattr(dataset, "_checkpoint_snapshot", recording_snapshot) + thread = threading.Thread(target=create_pending_iterator, name="stale-start") + thread.start() + assert entered.wait(timeout=5) + assert next(first)["id"].tolist() == [2, 3] + with pytest.raises(StopIteration): + next(first) + release.set() + thread.join(timeout=5) + + assert not thread.is_alive() + assert pending_errors == [] + assert observed_snapshots == [[4]] + assert len(pending) == 1 + assert list(pending[0]) == [] + assert dataset.state_dict()["samples_consumed_per_split"] == [4] + + def interrupted_acquire(): + real_acquire() + raise KeyboardInterrupt("after acquire") + + monkeypatch.setattr(dataset, "_acquire_consumer_iterator", interrupted_acquire) + with pytest.raises(KeyboardInterrupt, match="after acquire"): + iter(loader) + assert dataset._consumer_iterator_active is False + + +def test_consumer_iterator_lease_publication_is_atomic(tmp_path, monkeypatch): + db = lancedb.connect(tmp_path) + table = db.create_table("atomic_lease", pa.table({"id": [0, 1]})) + dataset = StreamingDataset(table, num_splits=1, shuffle=False) + loader = StreamingDataLoader(dataset, batch_size=1, num_workers=0) + real_get_ident = streaming.threading.get_ident + calls = 0 + + def interrupt_during_publication(): + nonlocal calls + calls += 1 + if calls == 1: + raise KeyboardInterrupt("during lease mutation") + return real_get_ident() + + monkeypatch.setattr(streaming.threading, "get_ident", interrupt_during_publication) + with pytest.raises(KeyboardInterrupt, match="during lease mutation"): + iter(loader) + monkeypatch.setattr(streaming.threading, "get_ident", real_get_ident) + + assert dataset._consumer_iterator_active is False + iterator = iter(loader) + try: + assert next(iterator)["id"].tolist() == [0] + finally: + iterator._shutdown_workers() + + +def test_streaming_dataloader_rejects_dataset_iter_override(tmp_path): + class CustomizedDataset(StreamingDataset): + def __iter__(self): + return iter([1000, 1001]) + + db = lancedb.connect(tmp_path) + table = db.create_table("custom_iteration", pa.table({"id": [0, 1, 2]})) + dataset = CustomizedDataset(table, num_splits=1, shuffle=False) + + assert list(dataset) == [1000, 1001] + with pytest.raises(TypeError, match="override __iter__"): + StreamingDataLoader( + dataset, + batch_size=2, + num_workers=0, + collate_fn=list, + ) + + +def test_interleaved_adapters_do_not_authorize_plain_iteration(tmp_path): + db = lancedb.connect(tmp_path) + table_a = db.create_table("adapter_a", pa.table({"id": [0, 1]})) + table_b = db.create_table("adapter_b", pa.table({"id": [10, 11]})) + dataset_a = StreamingDataset(table_a, num_splits=1, shuffle=False) + dataset_b = StreamingDataset(table_b, num_splits=1, shuffle=False) + initial_state = dataset_a.state_dict() + + owner_a = dataset_a._acquire_consumer_iterator() + owner_b = dataset_b._acquire_consumer_iterator() + try: + iterator_a = iter(streaming._StreamingDatasetAdapter(dataset_a)) + iterator_b = iter(streaming._StreamingDatasetAdapter(dataset_b)) + assert next(iterator_a).data["id"] == 0 + assert next(iterator_b).data["id"] == 10 + assert [sample.data["id"] for sample in iterator_a] == [1] + assert [sample.data["id"] for sample in iterator_b] == [11] + finally: + dataset_a._release_consumer_iterator(owner_a) + dataset_b._release_consumer_iterator(owner_b) + + dataset_a.load_state_dict(initial_state) + with patch( + "lancedb.streaming.get_worker_info", + return_value=FakeWorkerInfo(id=0, num_workers=1), + ): + plain_iterator = iter(dataset_a) + assert next(plain_iterator)["id"] == 0 + plain_iterator.close() + + assert dataset_a._untracked_worker_iteration[0] == 1 + with pytest.raises(RuntimeError, match="Use StreamingDataLoader"): + dataset_a.state_dict() + + +def test_resume_from_partial_split_cycle_preserves_remaining_order(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table("partial_cycle", pa.table({"id": [1, 2, 10, 20]})) + dataset = StreamingDataset(table, num_splits=2, shuffle=False) + iterator = iter(dataset) + + assert next(iterator)["id"] == 1 + checkpoint = dataset.state_dict() + iterator.close() + assert checkpoint["samples_consumed_per_split"] == [1, 0] + + resumed = StreamingDataset(table, num_splits=2, shuffle=False) + resumed.load_state_dict(checkpoint) + assert [row["id"] for row in resumed] == [10, 2, 20] + + +def test_partial_cycle_resume_preserves_skip_truncation(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table( + "partial_skip", pa.table({"id": [0, 1, 2, 3, 100, 101, 102, 103]}) + ) + kwargs = dict( + num_splits=2, + shuffle=False, + transform=_failing_transform({1, 2, 3}), + on_transform_error="skip", + ) + dataset = StreamingDataset(table, **kwargs) + iterator = iter(dataset) + + assert next(iterator)["id"] == 0 + checkpoint = dataset.state_dict() + uninterrupted = [row["id"] for row in iterator] + + resumed = StreamingDataset(table, **kwargs) + resumed.load_state_dict(checkpoint) + assert [row["id"] for row in resumed] == uninterrupted == [100] + + def test_multi_worker_resumability_same_topology(lance_table): """Checkpoint with num_workers=2, resume with num_workers=2: exact continuation.""" world_size = 1 @@ -1374,6 +1956,188 @@ def test_transform_parallelism_must_be_positive(lance_table, transform_paralleli ) +# --------------------------------------------------------------------------- +# Backpressure / transform_queue_depth tests +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize("transform_queue_depth", [0, -1]) +def test_transform_queue_depth_must_be_positive(lance_table, transform_queue_depth): + """transform_queue_depth=0 or negative must raise ValueError.""" + with pytest.raises( + ValueError, match="transform_queue_depth must be greater than 0" + ): + StreamingDataset( + lance_table, + num_splits=NUM_SPLITS, + transform_queue_depth=transform_queue_depth, + ) + + +@pytest.mark.parametrize("transform_queue_depth", [1, 2, 4]) +def test_transform_queue_depth_correctness(lance_table, transform_queue_depth): + """With backpressure enabled, every row is still yielded exactly once.""" + ds = StreamingDataset( + lance_table, + num_splits=NUM_SPLITS, + shuffle_seed=SHUFFLE_SEED, + transform_queue_depth=transform_queue_depth, + read_batch_size=8, + ) + items = list(ds) + assert sorted(item["id"] for item in items) == list(range(NUM_ROWS)) + + +def test_transform_queue_depth_matches_no_backpressure(lance_table): + """With backpressure enabled the same samples are produced as without it.""" + ds_unlimited = StreamingDataset( + lance_table, num_splits=NUM_SPLITS, shuffle_seed=SHUFFLE_SEED + ) + ds_limited = StreamingDataset( + lance_table, + num_splits=NUM_SPLITS, + shuffle_seed=SHUFFLE_SEED, + transform_queue_depth=1, + ) + assert [item["id"] for item in ds_unlimited] == [ + item["id"] for item in ds_limited + ], "transform_queue_depth must not affect the sample ordering or set" + + +def test_transform_queue_depth_bounds_cooked_rows(lance_table): + """prefetch_queue_depth stays within transform_queue_depth * read_batch_size + per split when observed from the main thread during iteration.""" + n_splits = 4 + batch_size = 8 + cooked_depth = 2 + # max cooked rows across all 4 splits: 4 * 2 * 8 = 64 + max_allowed = n_splits * cooked_depth * batch_size + + ds = StreamingDataset( + lance_table, + num_splits=n_splits, + shuffle_seed=SHUFFLE_SEED, + transform_queue_depth=cooked_depth, + read_batch_size=batch_size, + transform_parallelism=1, + world_size=1, + ) + + peak = 0 + for _ in ds: + depth = ds.prefetch_queue_depth + if depth > peak: + peak = depth + + # The main thread observes depth *after* popping a row, so the peak is at + # most max_allowed (one row already popped from the split just served). + assert peak <= max_allowed, ( + f"prefetch_queue_depth peaked at {peak}, expected <= {max_allowed}" + ) + + +def test_transform_queue_depth_does_not_admit_at_capacity_minus_one(tmp_path): + """Admission requires a full read_batch_size of free space, not just one slot. + + The test intercepts ThreadPoolExecutor.submit to make I/O calls execute + synchronously on the main thread. This ensures all raw batches land in + raw_batches (via _drain_io) before _try_submit_tx evaluates the admission + predicate for the first time. Without this, the I/O future for batch N+1 + might still be in io_pending at the capacity-minus-one transition, leaving + raw_batches empty and causing _try_submit_tx to skip the admission check + entirely — so both the correct and the broken predicate produce depth=0 + observations and the test cannot distinguish them. + + With all raw batches pre-loaded in raw_batches the 4→3 cooked transition + (consuming one row from a full cooked queue) always triggers _try_submit_tx + against a non-empty raw_batches. + + With transform_queue_depth=1 and batch_size=4, max_cooked_rows=4. + A transform may only be submitted when in_pipeline + batch_size <= 4, i.e. + when in_pipeline == 0 (cooked is completely empty). Under the old broken + predicate (in_pipeline >= max_cooked_rows) the second transform would be + admitted with cooked containing batch_size-1 rows still unconsumed. + """ + import concurrent.futures as cf + from concurrent.futures import ThreadPoolExecutor + from unittest.mock import patch + + db = lancedb.connect(tmp_path) + batch_size = 4 + # Four full batches → four transform submissions to observe. + table = db.create_table("t", pa.table({"id": list(range(batch_size * 4))})) + + cooked_at_submit: list[int] = [] + + original_submit = ThreadPoolExecutor.submit + + def tracking_submit(self, fn, *args, **kwargs): + name = getattr(fn, "__name__", "") + if name == "_io_call": + # Run I/O synchronously on the calling (main) thread and return an + # already-completed Future. _drain_io checks fut.done(), so a + # completed Future is moved to raw_batches immediately on the next + # _advance call — making raw-batch readiness deterministic at the + # capacity-minus-one transition instead of depending on I/O thread + # scheduling. + fut = cf.Future() + try: + fut.set_result(fn(*args, **kwargs)) + except Exception as exc: + fut.set_exception(exc) + return fut + if name == "_tx_call_guarded": + # Capture cooked depth synchronously on the main thread before the + # transform worker can drain the queue. + ref = ds._cooked_ref + cooked_at_submit.append(len(ref[0]) if ref is not None else -1) + return original_submit(self, fn, *args, **kwargs) + + with patch.object(ThreadPoolExecutor, "submit", tracking_submit): + ds = StreamingDataset( + table, + num_splits=1, + shuffle_seed=42, + read_batch_size=batch_size, + transform_queue_depth=1, + transform_parallelism=1, + ) + list(ds) + + assert len(cooked_at_submit) == 4, ( + f"Expected 4 transform submissions (one per batch), got {len(cooked_at_submit)}" + ) + # With full-batch backpressure each transform is only admitted when the + # cooked queue is completely empty (depth == 0). The old broken predicate + # would admit at depth == batch_size - 1 == 3. + assert all(depth == 0 for depth in cooked_at_submit), ( + "Transform admitted with non-empty cooked queue; full-batch backpressure " + "requires in_pipeline + batch_size <= max_cooked_rows before admission. " + f"Cooked depths at each submission: {cooked_at_submit}" + ) + + +# --------------------------------------------------------------------------- +# Deprecated parameter name tests +# --------------------------------------------------------------------------- + + +def test_prefetch_batches_deprecated_warns(lance_table, caplog): + """prefetch_batches logs a deprecation warning and behaves like io_queue_depth.""" + with caplog.at_level(logging.WARNING, logger="lancedb.streaming"): + ds = StreamingDataset( + lance_table, + num_splits=NUM_SPLITS, + shuffle_seed=SHUFFLE_SEED, + prefetch_batches=2, + ) + messages = [r.message for r in caplog.records if r.levelno >= logging.WARNING] + assert any("deprecated" in m.lower() and "io_queue_depth" in m for m in messages), ( + f"Expected deprecation warning mentioning io_queue_depth; got: {messages}" + ) + assert sorted(item["id"] for item in ds) == list(range(NUM_ROWS)) + + def test_filter_limits_rows(tmp_path): """A filter expression is applied to the permutation so only matching rows are yielded. IDs 0..59 pass ``id < 60``; the other 60 are excluded.""" @@ -1836,6 +2600,23 @@ def test_merge_state_dicts_validates_consistency(lance_table): StreamingDataset.merge_state_dicts([]) +def test_merge_state_dicts_combines_nonuniform_consumer_progress(lance_table): + dataset = StreamingDataset( + lance_table, num_splits=2, shuffle=False, shuffle_seed=SHUFFLE_SEED + ) + rank0 = dataset.state_dict() + rank0["samples_consumed_per_split"] = [2, 0] + rank0["positions_consumed_per_split"] = [2, 0] + rank1 = dataset.state_dict() + rank1["samples_consumed_per_split"] = [0, 2] + rank1["positions_consumed_per_split"] = [0, 2] + + merged = StreamingDataset.merge_state_dicts([rank0, rank1]) + + assert merged["samples_consumed_per_split"] == [2, 2] + assert merged["positions_consumed_per_split"] == [2, 2] + + def test_load_state_dict_without_positions_key(lance_table): """Checkpoints from before positions_consumed_per_split existed still resume exactly (positions equal sample counts when nothing is skipped).""" @@ -1931,6 +2712,273 @@ def test_shuffle_seed_none_generates_stable_seed(lance_table): assert first == second, "Same resolved seed must produce the same ordering" +# Sequence packing tests + + +def _create_token_table(tmp_path, documents): + db = lancedb.connect(tmp_path) + tokens = pa.array(documents, type=pa.list_(pa.int64())) + return db.create_table("tokens", pa.table({"tokens": tokens})) + + +def _packed_dataset(table, pack_sequences, *, blocks_per_epoch, pad_id=0, **kwargs): + return StreamingDataset( + table, + shuffle=False, + columns=["tokens"], + pack_sequences=pack_sequences, + eos_id=9, + pad_id=pad_id, + blocks_per_epoch=blocks_per_epoch, + **kwargs, + ) + + +def test_pack_sequences_emits_blocks_and_pads_final_tail(tmp_path): + table = _create_token_table(tmp_path, [[1, 2], [3, 4], [5]]) + dataset = _packed_dataset(table, 6, blocks_per_epoch=2) + + blocks = list(dataset) + + assert len(blocks) == 2 + assert blocks[0]["input_ids"].tolist() == [1, 2, 9, 3, 4, 9] + assert blocks[0]["doc_ids"].tolist() == [0, 0, 0, 1, 1, 1] + assert blocks[1]["input_ids"].tolist() == [5, 9, 0, 0, 0, 0] + assert blocks[1]["doc_ids"].tolist() == [0, 0, 0, 0, 0, 0] + assert blocks[0]["input_ids"].dtype == torch.int64 + assert blocks[0]["doc_ids"].dtype == torch.int64 + + +def test_pack_sequences_pads_lagging_splits(tmp_path): + table = _create_token_table( + tmp_path, + [[1], [2], [10, 11, 12, 13, 14, 15, 16, 17], [20]], + ) + dataset = _packed_dataset(table, 5, blocks_per_epoch=6, num_splits=2) + input_ids = [block["input_ids"].tolist() for block in dataset] + # Split 0 has four real tokens including EOS markers, while split 1 has + # eleven. Packing must emit three complete two-split cycles. + assert input_ids == [ + [1, 9, 2, 9, 0], + [10, 11, 12, 13, 14], + [0, 0, 0, 0, 0], + [15, 16, 17, 9, 20], + [0, 0, 0, 0, 0], + [9, 0, 0, 0, 0], + ] + + per_rank = [] + for rank in range(2): + rank_dataset = _packed_dataset( + table, + 5, + blocks_per_epoch=6, + num_splits=2, + world_size=2, + rank=rank, + ) + per_rank.append([block["input_ids"].tolist() for block in rank_dataset]) + + assert [len(blocks) for blocks in per_rank] == [3, 3] + sharded = [block for cycle in zip(*per_rank) for block in cycle] + assert sharded == input_ids + + +def test_pack_sequences_auto_estimates_filtered_token_column(tmp_path): + db = lancedb.connect(tmp_path) + table = db.create_table( + "tokens", + pa.table( + { + "tokens": pa.array([[1] * 4, [2] * 9], type=pa.list_(pa.int64())), + "keep": [True, False], + } + ), + ) + table.add( + pa.table( + { + "tokens": pa.array([[3] * 4, [4] * 9], type=pa.list_(pa.int64())), + "keep": [True, False], + } + ) + ) + + with pytest.warns(UserWarning, match="approximate token-count sample"): + dataset = _packed_dataset( + table, + 5, + blocks_per_epoch="auto", + num_splits=2, + filter="keep", + ) + + # Two kept documents contain 8 tokens plus 2 EOS tokens: two blocks. + assert dataset.state_dict()["blocks_per_epoch"] == 2 + + +def test_pack_sequences_checkpoint_resumes_on_new_topology(tmp_path): + table = _create_token_table( + tmp_path, + [[1], [2], [10, 11, 12, 13, 14, 15, 16, 17], [20]], + ) + kwargs = dict(pack_sequences=5, blocks_per_epoch=6, num_splits=2) + reference = list(_packed_dataset(table, **kwargs)) + + datasets = [ + _packed_dataset(table, world_size=2, rank=rank, **kwargs) for rank in range(2) + ] + iterators = [iter(dataset) for dataset in datasets] + first_cycle = [next(iterator) for iterator in iterators] + checkpoint = StreamingDataset.merge_state_dicts( + [dataset.state_dict() for dataset in datasets] + ) + for iterator in iterators: + iterator.close() + + resumed = _packed_dataset(table, **kwargs) + resumed.load_state_dict(checkpoint) + actual_remaining = list(resumed) + + assert [block["input_ids"].tolist() for block in first_cycle] == [ + [1, 9, 2, 9, 0], + [10, 11, 12, 13, 14], + ] + assert checkpoint["blocks_emitted_per_split"] == [1, 1] + assert [block["input_ids"].tolist() for block in actual_remaining] == [ + block["input_ids"].tolist() for block in reference[2:] + ] + assert [block["doc_ids"].tolist() for block in actual_remaining] == [ + block["doc_ids"].tolist() for block in reference[2:] + ] + + +def test_packed_checkpoint_requires_complete_split_cycle(tmp_path): + table = _create_token_table(tmp_path, [[1], [2], [10], [20]]) + dataset = _packed_dataset(table, pack_sequences=3, blocks_per_epoch=4, num_splits=2) + iterator = iter(dataset) + + next(iterator) + with pytest.raises(RuntimeError, match="complete logical step boundary"): + dataset.state_dict() + + next(iterator) + assert dataset.state_dict()["blocks_emitted_per_split"] == [1, 1] + iterator.close() + + +def test_streaming_dataloader_commits_consumed_packed_batches(tmp_path): + table = _create_token_table( + tmp_path, + [[1], [2], [3], [4], [10], [20], [30], [40]], + ) + kwargs = dict(pack_sequences=4, blocks_per_epoch=4, num_splits=2) + dataset = _packed_dataset(table, **kwargs) + loader = StreamingDataLoader( + dataset, + batch_size=1, + num_workers=2, + multiprocessing_context="spawn", + prefetch_factor=2, + ) + iterator = iter(loader) + try: + next(iterator) + with pytest.raises(RuntimeError, match="complete logical step boundary"): + dataset.state_dict() + + next(iterator) + checkpoint = dataset.state_dict() + uninterrupted = [batch["input_ids"].tolist() for batch in iterator] + finally: + iterator._shutdown_workers() + + resumed = _packed_dataset(table, **kwargs) + resumed.load_state_dict(checkpoint) + resumed_loader = StreamingDataLoader( + resumed, + batch_size=1, + num_workers=2, + multiprocessing_context="spawn", + prefetch_factor=2, + ) + resumed_iterator = iter(resumed_loader) + try: + remaining = [batch["input_ids"].tolist() for batch in resumed_iterator] + finally: + resumed_iterator._shutdown_workers() + + assert checkpoint["blocks_emitted_per_split"] == [1, 1] + assert remaining == uninterrupted + + +def test_pack_sequences_validates_configuration_and_tokens(tmp_path): + table = _create_token_table(tmp_path, [[1, 2]]) + + with pytest.raises(ValueError, match="pad_id is required"): + StreamingDataset( + table, + shuffle=False, + columns=["tokens"], + pack_sequences=4, + eos_id=9, + ) + + with pytest.raises(ValueError, match="blocks_per_epoch is required"): + StreamingDataset( + table, + shuffle=False, + columns=["tokens"], + pack_sequences=4, + eos_id=9, + pad_id=0, + ) + + with pytest.raises(ValueError, match="must be divisible"): + _packed_dataset(table, 4, blocks_per_epoch=3, num_splits=2) + + with pytest.raises(ValueError, match="positive integer or 'auto'"): + _packed_dataset(table, 4, blocks_per_epoch="estimate") + + checkpoint = _packed_dataset(table, 4, blocks_per_epoch=1).state_dict() + resumed = _packed_dataset(table, 4, blocks_per_epoch=1, pad_id=8) + with pytest.raises(ValueError, match="pad_id mismatch"): + resumed.load_state_dict(checkpoint) + + float_db = lancedb.connect(tmp_path / "float") + float_table = float_db.create_table( + "tokens", + pa.table({"tokens": pa.array([[1.5, 2.5]], type=pa.list_(pa.float64()))}), + ) + with pytest.raises(ValueError, match="token column with integer values"): + _packed_dataset(float_table, 4, blocks_per_epoch=1) + + null_db = lancedb.connect(tmp_path / "null") + null_table = null_db.create_table( + "tokens", + pa.table({"tokens": pa.array([None], type=pa.list_(pa.int64()))}), + ) + with pytest.raises(ValueError, match="does not support null token lists"): + list(_packed_dataset(null_table, 4, blocks_per_epoch=1)) + + null_value_db = lancedb.connect(tmp_path / "null_value") + null_value_table = null_value_db.create_table( + "tokens", + pa.table( + {"tokens": pa.array([[1], [2, None], [3]], type=pa.list_(pa.int64()))} + ), + ) + blocks = list( + _packed_dataset( + null_value_table, + 2, + blocks_per_epoch=2, + on_transform_error="skip", + ) + ) + assert [block["input_ids"].tolist() for block in blocks] == [[1, 9], [3, 9]] + + # --------------------------------------------------------------------------- # Doc examples — each test mirrors the code snippet in index.mdx so that # broken doc examples are caught before they ship. @@ -1954,7 +3002,7 @@ def test_doc_example_basic(tmp_path): def test_doc_example_prefetch_params(tmp_path): - """doc: Prefetching — read_batch_size and prefetch_batches still cover all rows.""" + """doc: Prefetching — read_batch_size and io_queue_depth still cover all rows.""" db = lancedb.connect(tmp_path) table = db.create_table("t", pa.table({"id": list(range(NUM_ROWS))})) @@ -1963,7 +3011,7 @@ def test_doc_example_prefetch_params(tmp_path): num_splits=NUM_SPLITS, shuffle_seed=SHUFFLE_SEED, read_batch_size=8, - prefetch_batches=2, + io_queue_depth=2, ) assert sorted(s["id"] for s in ds) == list(range(NUM_ROWS)) diff --git a/python/python/tests/test_first_class_function_slice1.py b/python/python/tests/test_first_class_function_slice1.py index 1bb8feaf4..89172ba3f 100644 --- a/python/python/tests/test_first_class_function_slice1.py +++ b/python/python/tests/test_first_class_function_slice1.py @@ -37,21 +37,6 @@ def job_result(name: str) -> dict: return json.loads(fixture(name))["result"] -def assert_no_secret_values(value): - if isinstance(value, dict): - for key, child in value.items(): - assert key not in { - "secret_value", - "secret_values", - "resolved_secret", - "resolved_secrets", - } - assert_no_secret_values(child) - elif isinstance(value, list): - for child in value: - assert_no_secret_values(child) - - def test_public_function_values_are_in_api_reference(): docs = Path(__file__).parents[3] / "docs" / "src" / "python" / "python.md" rendered = docs.read_text() @@ -109,7 +94,6 @@ def test_function_version_identity_is_immutable_and_exact(): version = FunctionVersion.from_json(json.dumps(value)) assert version.name == "embed" assert version.version == "fv_01K3EXACT" - assert version.required_secrets == ("HF_TOKEN",) with pytest.raises((TypeError, ValueError)): version.version = "fv_changed" @@ -121,7 +105,7 @@ def test_function_version_identity_is_immutable_and_exact(): assert FunctionVersion(**changed) != version -def test_function_version_binds_named_columns_as_one_immutable_group(): +def test_function_version_binds_named_columns_as_one_immutable_application(): version = FunctionVersion.from_json( json.dumps(job_result("remote_function_job.json")) ) @@ -131,13 +115,10 @@ def test_function_version_binds_named_columns_as_one_immutable_group(): assert application.function.name == version.name assert application.function.version == version.version assert application.output is version.signature.output - assert application.group_id.startswith("fg_") assert [ (value.parameter, value.kind, value.value["path"]) for value in application.inputs ] == [("text", "column", "documents.body")] - with pytest.raises((TypeError, ValueError)): - application.group_id = "fg_changed" def test_function_version_binding_validates_names_and_direct_columns(): @@ -156,7 +137,7 @@ def test_function_version_binding_validates_names_and_direct_columns(): def test_function_version_keeps_named_struct_outputs_in_one_application(): value = job_result("remote_function_job.json") value["name"] = "text_features" - value["version"] = "fv_grouped" + value["version"] = "fv_multi_output" value["signature"] = { "inputs": [ {"name": "title", "arrow_type": "utf8", "nullable": True}, @@ -221,7 +202,6 @@ def test_function_application_uses_rename_columns_only(): assert application.columns["normalized_text"] == "search_text" assert renamed.columns["normalized_text"] == "body_normalized" assert renamed.function == application.function - assert renamed.group_id == application.group_id assert not hasattr(application, "rename_outputs") with pytest.raises(TypeError, match="immutable"): renamed.columns["normalized_text"] = "changed" @@ -242,7 +222,6 @@ def test_function_application_uses_rename_columns_only(): def test_binding_and_refresh_result_keep_stable_remote_fields(): binding = FunctionBinding.from_json(fixture("remote_function_binding.json")) - assert binding.revision == 3 assert binding.function.version == "fv_01K3TEXT" assert [output.output_ordinal for output in binding.outputs] == [0, 1] assert binding.input_schema is not None @@ -297,15 +276,6 @@ def test_refresh_result_rejects_non_u64_values(field): RefreshColumnResult.from_json(json.dumps(value)) -def test_canonical_client_values_contain_secret_names_only(): - version = FunctionVersion.from_json( - json.dumps(job_result("remote_function_job.json")) - ) - canonical = json.loads(version.to_canonical_json()) - assert canonical["required_secrets"] == ["HF_TOKEN"] - assert_no_secret_values(canonical) - - class _FunctionDeclarationInner: def __init__(self): self.calls = [] @@ -322,7 +292,7 @@ def known_application() -> FunctionApplication: @pytest.mark.asyncio -async def test_add_columns_routes_struct_as_one_and_grouped_expansion_atomically(): +async def test_add_columns_routes_struct_as_one_and_multi_output_binding_atomically(): inner = _FunctionDeclarationInner() table = AsyncTable(inner) application = known_application() @@ -343,12 +313,12 @@ async def test_add_columns_routes_struct_as_one_and_grouped_expansion_atomically @pytest.mark.asyncio -async def test_add_columns_rejects_mixed_groups_and_unknown_newer_application(): +async def test_add_columns_rejects_multiple_bindings_and_unknown_newer_application(): inner = _FunctionDeclarationInner() table = AsyncTable(inner) application = known_application() - with pytest.raises(ValueError, match="exactly one Function sibling group"): + with pytest.raises(ValueError, match="exactly one Function binding"): await table.add_columns({"a": application, "b": application}) future = json.loads(fixture("remote_function_application.json")) @@ -376,7 +346,6 @@ def test_rename_requires_named_struct_and_keeps_partial_mapping_immutable(): "arrow_type": "list", "nullable": False, }, - "group_id": "fg_scalar", } ) ) diff --git a/python/python/tests/test_first_class_function_slice2.py b/python/python/tests/test_first_class_function_slice2.py index 99c68876c..7ce6b6b91 100644 --- a/python/python/tests/test_first_class_function_slice2.py +++ b/python/python/tests/test_first_class_function_slice2.py @@ -3,7 +3,12 @@ from __future__ import annotations +import base64 import contextlib +import functools +import importlib.util +import types +from datetime import date import http.server import json from pathlib import Path @@ -16,6 +21,9 @@ import pytest import lancedb from lancedb.functions import UdfDefinition, udf +THRESHOLD = 20 +_CACHE = None + FIXTURES = ( Path(__file__).parents[3] @@ -31,28 +39,12 @@ FIXTURES = ( @udf( pip=["numpy>=2"], env={"MODE": "test"}, - secrets=["API_TOKEN"], python_version="3.12", ) def normalize_score(value: float) -> float: return value / 100.0 -def _assert_no_secret_values(value): - if isinstance(value, dict): - for key, child in value.items(): - assert key not in { - "secret_value", - "secret_values", - "resolved_secret", - "resolved_secrets", - } - _assert_no_secret_values(child) - elif isinstance(value, list): - for child in value: - _assert_no_secret_values(child) - - def test_scalar_udf_matches_shared_registration_golden_and_remains_callable(): assert isinstance(normalize_score, UdfDefinition) assert normalize_score(25.0) == 0.25 @@ -67,13 +59,417 @@ def test_scalar_udf_matches_shared_registration_golden_and_remains_callable(): "kind": "scalar_to_arrow_batch", "version": 1, } - assert request["required_secrets"] == ["API_TOKEN"] - _assert_no_secret_values(request) + + +def _run_packaged(definition, *args): + """Execute the shipped artifact in a fresh namespace, as a worker would.""" + source = base64.b64decode(definition.registration_request.artifact.content.data) + namespace: dict = {} + exec(compile(source, "", "exec"), namespace) + return namespace[definition.registration_request.artifact.entrypoint](*args) + + +def test_udf_conda_environment(): + @udf(conda=["scipy", "numpy"], conda_channels=["conda-forge", "defaults"]) + def halve(value: float) -> float: + return value / 2 + + request = json.loads(halve.registration_request.to_canonical_json()) + assert request["runtime"]["environment"] == { + "kind": "conda", + "packages": ["numpy", "scipy"], + "channels": ["conda-forge", "defaults"], + } + pip_request = json.loads(normalize_score.registration_request.to_canonical_json()) + assert "channels" not in pip_request["runtime"]["environment"] + + with pytest.raises(ValueError, match="not both"): + udf(name="both", pip=["numpy"], conda=["numpy"])(lambda value: value) + with pytest.raises(ValueError, match="requires conda"): + udf(name="channels", conda_channels=["conda-forge"])(lambda value: value) + + +def test_udf_packages_attribute_access_and_body_imports(): + @udf + def word_norm(body: str) -> float: + import numpy as np + + try: + words = body.split() + except AttributeError as error: + raise ValueError(str(error)) from error + return float(np.linalg.norm([len(w) for w in words])) + + assert _run_packaged(word_norm, "aa bb") == pytest.approx(8**0.5) + + +def test_udf_packages_module_globals_and_global_caches(): + @udf + def label(value: int) -> str: + return "big" if value >= THRESHOLD else "small" + + assert _run_packaged(label, 21) == "big" + + @udf + def cached(value: int) -> int: + global _CACHE + if _CACHE is None: + _CACHE = 40 + return _CACHE + value + + assert _run_packaged(cached, 2) == 42 + + +def test_udf_annotations_are_not_runtime_names(): + @udf + def identity(value: date) -> date: + return value + + assert _run_packaged(identity, date(2026, 8, 25)) == date(2026, 8, 25) + + +def test_udf_nested_scopes_resolve_lexically(): + @udf + def score(value: int) -> int: + offset = 2 + + def add_offset() -> int: + return value + offset + + return add_offset() + sum(v for v in [0]) + + assert _run_packaged(score, 3) == 5 + + +def test_udf_resolves_module_globals_before_builtins(tmp_path): + module_path = tmp_path / "shadowing_udfs.py" + module_path.write_text( + "max = 7\n" + "len = lambda _: 99\n" + "\n" + "def uses_literal_shadow(value: int) -> int:\n" + " def nested() -> int:\n" + " return max\n" + " return nested() + value\n" + "\n" + "def uses_callable_shadow(value: int) -> int:\n" + " def nested() -> int:\n" + " return len([1])\n" + " return nested() + value\n" + ) + spec = importlib.util.spec_from_file_location("shadowing_udfs", module_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + # The module's `max = 7` is what the interpreter would use, so it ships. + assert _run_packaged(udf(module.uses_literal_shadow), 1) == 8 + # A callable global cannot ship; it must not be silently swapped for the builtin. + with pytest.raises(TypeError, match="unsupported global value of type function"): + udf(module.uses_callable_shadow) + + +def test_canonical_arrow_type_is_exactly_the_grammar(): + from lancedb.functions import _GRAMMAR_PRIMITIVES, _canonical_arrow_type + + golden = json.loads( + ( + Path(__file__).parents[3] + / "rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json" + ).read_text() + ) + primitives = [ + case["arrow_type"] for case in golden["valid"] if "<" not in case["arrow_type"] + ] + assert [name for _, name in _GRAMMAR_PRIMITIVES] == primitives + for outside in [ + pa.timestamp("us"), + pa.decimal128(10, 2), + pa.large_string(), + pa.large_binary(), + pa.binary(4), + pa.duration("s"), + pa.struct([pa.field("a", pa.int32())]), + pa.list_(pa.float32(), 0), + pa.list_(pa.timestamp("us")), + ]: + with pytest.raises(TypeError, match="unsupported Arrow type"): + _canonical_arrow_type(outside) + + +def test_udf_nested_annotations_are_postponed_in_the_artifact(): + @udf + def score(value: int) -> int: + def identity(item: date) -> date: + return item + + identity(date(2026, 8, 25)) + return value + + assert _run_packaged(score, 3) == 3 + + +def test_udf_ships_globals_the_body_deletes(): + @udf + def clear(value: int) -> int: + global _CACHE + del _CACHE + return value + + assert _run_packaged(clear, 3) == 3 + + +def test_udf_rejects_a_module_global_that_does_not_import_as_itself(tmp_path): + module_path = tmp_path / "fake_module_udfs.py" + module_path.write_text( + "import types\n" + "np = types.ModuleType('numpy')\n" + "np.sqrt = lambda x: 0\n" + "\n" + "def score(value: int) -> int:\n" + " return int(np.sqrt(value))\n" + ) + spec = importlib.util.spec_from_file_location("fake_module_udfs", module_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + with pytest.raises(TypeError, match="does not import as 'numpy'"): + udf(module.score) + + +def test_udf_rejects_a_module_level_namespace_alias(tmp_path): + module_path = tmp_path / "aliasing_udfs.py" + module_path.write_text( + "import builtins as b\n" + "THRESHOLD = 5\n" + "\n" + "def score(value: int) -> int:\n" + " return value + b.vars(b.__import__('aliasing_udfs'))['THRESHOLD']\n" + ) + spec = importlib.util.spec_from_file_location("aliasing_udfs", module_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + with pytest.raises(ValueError, match="dynamic namespace access"): + udf(module.score) + + +@pytest.mark.parametrize( + "access", + [ + "globals()['THRESHOLD']", + "eval('THRESHOLD')", + "(lambda g: g()['THRESHOLD'])(globals)", + "__import__('sys').modules[__name__].THRESHOLD", + "sys.modules[__name__].THRESHOLD", + ], +) +def test_udf_rejects_dynamic_namespace_access(access): + namespace: dict = {} + exec( + f"def score(value: int) -> int:\n return value + {access}\n", + {"THRESHOLD": 5}, + namespace, + ) + with pytest.raises(ValueError, match="dynamic namespace access"): + _package_from_text( + "def score(value: int) -> int:\n" + " import sys\n" + f" return value + {access}\n" + ) + + +def _package_from_text(source: str, module_globals: dict | None = None): + """Load `source` as a real module file so the packager can inspect it.""" + import tempfile + + directory = tempfile.mkdtemp() + path = Path(directory) / "generated_udf_module.py" + path.write_text(source) + spec = importlib.util.spec_from_file_location(f"generated_udf_{id(source)}", path) + module = importlib.util.module_from_spec(spec) + if module_globals: + module.__dict__.update(module_globals) + spec.loader.exec_module(module) + functions = [ + value + for value in vars(module).values() + if callable(value) and getattr(value, "__module__", None) == module.__name__ + ] + return udf(functions[0]) + + +def test_udf_rejects_a_non_standard_builtins_environment(): + def score(value: int) -> int: + return len([1]) + value + + score.__globals__ # noqa: B018 -- real function, real globals + import builtins + + patched = types.FunctionType( + score.__code__, + {"__builtins__": {**vars(builtins), "len": lambda _: 99}}, + "score", + ) + patched.__annotations__ = score.__annotations__ + assert patched(3) == 102 + with pytest.raises(ValueError, match="non-standard builtins environment"): + udf(patched) + + class ReportingDict(dict): # reports standard entries, resolves differently + def __missing__(self, key): + return vars(builtins)[key] + + disguised = types.FunctionType( + score.__code__, {"__builtins__": ReportingDict(len=lambda _: 99)}, "score" + ) + disguised.__annotations__ = score.__annotations__ + assert disguised(3) == 102 + with pytest.raises(ValueError, match="non-standard builtins environment"): + udf(disguised) + + hooked = types.FunctionType( + score.__code__, + {"__builtins__": {**vars(builtins), "__import__": lambda *a, **k: None}}, + "score", + ) + hooked.__annotations__ = score.__annotations__ + with pytest.raises(ValueError, match="non-standard builtins environment"): + udf(hooked) + + +def test_udf_recursion_versus_a_rebound_module_name(tmp_path): + module_path = tmp_path / "rebound_udfs.py" + module_path.write_text( + "def fact(value: int) -> int:\n" + " return 1 if value <= 1 else value * fact(value - 1)\n" + "\n" + "def score(value: int) -> int:\n" + " return score + value\n" + ) + spec = importlib.util.spec_from_file_location("rebound_udfs", module_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + assert _run_packaged(udf(module.fact), 5) == 120 + raw = module.score + module.score = 10 + with pytest.raises(ValueError, match="binds that name to another value"): + udf(raw) + # A wrapper that merely exposes __wrapped__ is not the function. + module.score = functools.wraps(raw)(lambda value: 41) + with pytest.raises(ValueError, match="binds that name to another value"): + udf(raw) + # The decorator's own result is; a subclass of it is not. + module.fact = udf(module.fact) + assert _run_packaged(module.fact, 4) == 24 + + class Twisted(UdfDefinition): + def __call__(self, *args, **kwargs): + return 41 + + raw_fact = module.fact._function + module.fact = Twisted( + raw_fact, + name=None, + input_schema=None, + output_schema=None, + pip=(), + env={}, + python_version=None, + ) + with pytest.raises(ValueError, match="binds that name to another value"): + udf(raw_fact) + + +def test_canonical_arrow_type_rejects_unrepresentable_list_children(): + from lancedb.functions import _canonical_arrow_type + + for outside in [ + pa.list_(pa.float32()), # pyarrow default: nullable child + pa.list_(pa.field("custom", pa.float32(), nullable=False)), + pa.list_(pa.field("item", pa.float32(), nullable=False, metadata={"k": "v"})), + pa.list_(pa.field("item", pa.float32(), nullable=False), 0), + ]: + with pytest.raises(TypeError, match="unsupported Arrow type"): + _canonical_arrow_type(outside) + assert ( + _canonical_arrow_type( + pa.list_(pa.field("item", pa.float32(), nullable=False), 3) + ) + == "fixed_size_list" + ) + + +def _calls_missing(value: int) -> int: + return missing(value) # noqa: F821 + + +def _shadows_missing_in_a_comprehension(value: int) -> int: + return missing(value) + sum(missing for missing in ()) # noqa: F821 + + +def _shadows_missing_in_a_lambda(value: int) -> int: + return (lambda missing: missing)(value) + missing # noqa: F821 + + +@pytest.mark.parametrize( + "function", + [_calls_missing, _shadows_missing_in_a_comprehension, _shadows_missing_in_a_lambda], +) +def test_udf_rejects_a_truly_unresolved_global(function): + with pytest.raises(ValueError, match=r"unresolved global names: \['missing'\]"): + udf(function) + + +def _arrow_type_from_golden(spec: dict) -> pa.DataType: + kind = spec["type"] + if kind in ("list", "large_list", "fixed_size_list"): + item = _arrow_type_from_golden(spec["fields"][0]["type"]) + field = pa.field("item", item, nullable=False) + if kind == "list": + return pa.list_(field) + if kind == "large_list": + return pa.large_list(field) + return pa.list_(field, spec["length"]) + return { + "null": pa.null(), + "bool": pa.bool_(), + "utf8": pa.string(), + "binary": pa.binary(), + "float16": pa.float16(), + "float32": pa.float32(), + "float64": pa.float64(), + "date32": pa.date32(), + "date64": pa.date64(), + }.get(kind) or getattr(pa, kind)() + + +def test_arrow_type_grammar_matches_the_shared_golden(): + golden = json.loads( + ( + Path(__file__).parents[3] + / "rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json" + ).read_text() + ) + from lancedb.functions import _canonical_arrow_type + + emitted = { + case["arrow_type"]: _canonical_arrow_type(_arrow_type_from_golden(case["json"])) + for case in golden["valid"] + } + assert emitted == { + case["arrow_type"]: case["arrow_type"] for case in golden["valid"] + } + assert not set(emitted) & set(golden["invalid"]) + for case in golden["server_only"]: + with pytest.raises(TypeError, match="unsupported Arrow type"): + _canonical_arrow_type(_arrow_type_from_golden(case["json"])) def test_explicit_arrow_schema_is_deterministic(): input_schema = pa.schema([pa.field("value", pa.float32(), nullable=True)]) - output_schema = pa.field("embedding", pa.list_(pa.float32(), 3), nullable=False) + output_schema = pa.field( + "embedding", + pa.list_(pa.field("item", pa.float32(), nullable=False), 3), + nullable=False, + ) @udf(input_schema=input_schema, output_schema=output_schema) def explicit(value): @@ -82,7 +478,7 @@ def test_explicit_arrow_schema_is_deterministic(): signature = explicit.registration_request.signature assert signature.inputs[0].arrow_type == "float32" assert signature.inputs[0].nullable is True - assert signature.output.arrow_type == "fixed_size_list[3]" + assert signature.output.arrow_type == "fixed_size_list" assert signature.output.nullable is False @@ -130,14 +526,6 @@ def test_annotation_and_explicit_schema_validation_fail_closed(): return value -def test_environment_rejects_secret_value_overlap(): - with pytest.raises(ValueError, match="must be disjoint"): - - @udf(env={"TOKEN": "plaintext"}, secrets=["TOKEN"]) - def overlapping(value: int) -> int: - return value - - def test_local_function_catalog_operations_are_not_supported(tmp_path): db = lancedb.connect(tmp_path) message = "Function catalog operations are not supported by this database" @@ -174,7 +562,6 @@ def _mock_remote_function_catalog(): "runtime": body["runtime"], "runtime_digest": "sha256:runtime", "environment_digest": "sha256:environment", - "required_secrets": body.get("required_secrets", []), "created_at": "2026-08-21T00:00:00Z", } response = {"job_id": "job-register"} @@ -187,7 +574,7 @@ def _mock_remote_function_catalog(): "job_state": "DONE", "result": state["version"], } - elif self.path == "/v1/functions/get": + elif self.path == "/v1/functions/describe": assert body == { "name": "normalize_score", "version": "fv_exact", @@ -233,7 +620,6 @@ def test_remote_registration_job_and_exact_version_reopen_round_trip(): assert create_request == json.loads( normalize_score.registration_request.to_canonical_json() ) - _assert_no_secret_values(create_request) def test_blocking_remote_registration_returns_function_version(): diff --git a/python/python/tests/test_fts.py b/python/python/tests/test_fts.py index 625198d92..e5129dd9c 100644 --- a/python/python/tests/test_fts.py +++ b/python/python/tests/test_fts.py @@ -25,6 +25,7 @@ from lancedb.db import DBConnection from lancedb.index import FTS from lancedb.query import ( BoostQuery, + DocumentGranularity, MatchQuery, MultiMatchQuery, PhraseQuery, @@ -245,6 +246,55 @@ def test_create_inverted_index_rejects_invalid_block_size(table): table.create_index("text", config=FTS(block_size=129)) +def test_list_element_document_granularity(tmp_path): + docs_type = pa.list_(pa.struct([pa.field("content", pa.string())])) + docs = pa.array( + [ + [ + {"content": "alpha beta"}, + None, + {"content": ""}, + {"content": "the and"}, + {"content": "alpha beta"}, + ] + ], + type=docs_type, + ) + table = ldb.connect(tmp_path).create_table( + "list_element_docs", pa.table({"id": [0], "docs": docs}) + ) + row_table = ldb.connect(tmp_path).create_table( + "row_docs", pa.table({"id": [0], "docs": docs}) + ) + row_table.create_index("docs.content", config=FTS()) + row_result = row_table.search(MatchQuery("alpha", "docs.content")).to_arrow() + assert row_result.num_rows == 1 + assert "_doc_index" not in row_result.column_names + + granularity = DocumentGranularity.LIST_ELEMENT + table.create_index( + "docs.content", + config=FTS(with_position=True, document_granularity=granularity), + ) + assert table.list_indices()[0].columns == ["docs.content"] + + def coordinates(query): + result = table.search(query).limit(10).to_arrow() + doc_index_type = result.schema.field("_doc_index").type + assert pa.types.is_list(doc_index_type) + assert doc_index_type.value_type == pa.uint32() + return sorted(result["_doc_index"].to_pylist()) + + assert coordinates( + MatchQuery("alpha", "docs.content", document_granularity=granularity) + ) == [[0], [4]] + assert coordinates( + PhraseQuery("alpha beta", "docs.content", document_granularity=granularity) + ) == [[0], [4]] + assert coordinates(MatchQuery("alpha", "docs.content")) == [[0], [4]] + assert FTS().document_granularity is DocumentGranularity.ROW + + def test_create_inverted_index_respects_build_memory_limit(table): with pytest.raises(ValueError, match="exceeds worker memory limit"): table.create_index( @@ -1089,6 +1139,20 @@ def test_fts_query_to_json(): ) assert json_str == expected + # Test MatchQuery with list-element document granularity + match_query = MatchQuery( + "hello world", + "text", + document_granularity=DocumentGranularity.LIST_ELEMENT, + ) + json_str = match_query.to_json() + expected = ( + '{"match":{"column":"text","terms":"hello world","boost":1.0,' + '"fuzziness":0,"max_expansions":50,"operator":"Or","prefix_length":0,' + '"document_granularity":"list_element"}}' + ) + assert json_str == expected + # Test MatchQuery with options match_query = MatchQuery("puppy", "text", fuzziness=2, boost=1.5, prefix_length=3) json_str = match_query.to_json() @@ -1098,6 +1162,19 @@ def test_fts_query_to_json(): ) assert json_str == expected + # Test PhraseQuery with list-element document granularity + phrase_query = PhraseQuery( + "quick brown fox", + "title", + document_granularity=DocumentGranularity.LIST_ELEMENT, + ) + json_str = phrase_query.to_json() + expected = ( + '{"phrase":{"column":"title","terms":"quick brown fox","slop":0,' + '"document_granularity":"list_element"}}' + ) + assert json_str == expected + # Test PhraseQuery phrase_query = PhraseQuery("quick brown fox", "title") json_str = phrase_query.to_json() diff --git a/python/python/tests/test_index.py b/python/python/tests/test_index.py index 94268a53e..fe6ebe87a 100644 --- a/python/python/tests/test_index.py +++ b/python/python/tests/test_index.py @@ -88,7 +88,7 @@ async def binary_table(db_async): async def test_create_index_async_returns_done_job(some_table: AsyncTable): job = await some_table.create_index_async("id", config=BTree()) assert job.id is None - await job.wait() + assert await job.wait() is None assert len(await some_table.list_indices()) == 1 await job.cancel() diff --git a/python/python/tests/test_permutation.py b/python/python/tests/test_permutation.py index 135742c84..142fc84f1 100644 --- a/python/python/tests/test_permutation.py +++ b/python/python/tests/test_permutation.py @@ -56,6 +56,31 @@ def test_execute_does_not_reenter_background_loop(tmp_path, monkeypatch): assert permutation_tbl._conn.read_consistency_interval is None +def test_pickled_permutation_reads_pinned_version(tmp_path): + """An unpickled copy must still read the pinned version, which also covers the + version surviving the ``to_arrow()`` round trip in ``__getstate__``.""" + import pickle + + db = connect(tmp_path) + tbl = db.create_table("base", pa.table({"idx": range(20)})) + permutation_tbl = permutation_builder(tbl).execute() + perm = Permutation.from_tables(tbl, permutation_tbl) + + payload = pickle.dumps(perm) + + # Compact so the stored row addresses no longer describe these rows at latest. + tbl.delete("true") + tbl.optimize() + assert tbl.count_rows() == 0 + + # Unpickle after the mutation: __setstate__ reopens at latest, so this only + # passes if the recorded version is applied on reopen. + restored = pickle.loads(payload) + assert len(restored) == 20 + rows = restored.__getitems__(list(range(20))) + assert sorted(row["idx"] for row in rows) == list(range(20)) + + def test_split_random_counts(mem_db): """Test random splitting with absolute counts.""" tbl = mem_db.create_table( diff --git a/python/python/tests/test_query.py b/python/python/tests/test_query.py index d2629d1a8..ff62b2b51 100644 --- a/python/python/tests/test_query.py +++ b/python/python/tests/test_query.py @@ -675,6 +675,21 @@ def test_distance_range(table: lancedb.table.Table): assert res["_distance"].to_pylist() == [min_dist, max_dist] +@pytest.mark.parametrize("expression", ["1 - _distance", "1.0 - _distance"]) +def test_select_arithmetic_with_distance(table, expression): + result = ( + table.search([10, 10]) + .select({"similarity": expression, "_distance": "_distance"}) + .distance_type("cosine") + .to_arrow() + ) + + assert result.schema.field("similarity").type == pa.float32() + assert result["similarity"].to_pylist() == pytest.approx( + [1 - distance for distance in result["_distance"].to_pylist()] + ) + + @pytest.mark.asyncio async def test_distance_range_async(table_async: AsyncTable): q = [0, 0] @@ -897,6 +912,23 @@ def test_query_builder_batches(table): assert rs_list["id"][1] == 2 +def test_batch_vector_query_shares_filtered_flat_scan(table): + query = ( + table.search([[1.0, 2.0], [3.0, 4.0]]) + .where("id > 0", prefilter=True) + .limit(1) + .select(["id"]) + ) + + plan = query.explain_plan(verbose=True) + assert "KNNVectorDistance: queries=2" in plan + assert "UnionExec" not in plan + + results = query.to_arrow() + assert len(results) == 2 + assert results["query_index"].to_pylist() == [0, 1] + + def test_dynamic_projection(table): rs = ( LanceVectorQueryBuilder(table, [0, 0], "vector") diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index 08f5550eb..ab0df386d 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -875,11 +875,85 @@ def test_remote_create_index_async_returns_job(): table = db.create_table("test", [{"id": 1}]) job = table.create_index_async("id", config=BTree()) assert job.id == "job-1" - job.wait(timeout=timedelta(seconds=30)) + assert job.wait(timeout=timedelta(seconds=30)) is None assert len(describe_calls) == 2 job.cancel() +def test_remote_refresh_async_returns_typed_terminal_result(): + terminal_result = { + "rows_assigned": 12, + "rows_failed": 0, + "rows_remaining": 0, + "source_version": 7, + "published_version": 8, + } + + def handler(request): + content_len = int(request.headers.get("Content-Length", 0)) + body = request.rfile.read(content_len) if content_len > 0 else b"" + if request.path == "/v1/table/test/backfill_column": + assert json.loads(body)["column"] == "derived" + request.send_response(202) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"job_id": "refresh-1"}') + elif request.path == "/v1/jobs/describe": + assert json.loads(body)["job_id"] == "refresh-1" + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps( + { + "job_id": "refresh-1", + "job_type": "function_refresh", + "job_state": "DONE", + "result": terminal_result, + } + ).encode() + ) + elif request.path == "/v1/table/test/create/?mode=create": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b"{}") + elif request.path == "/v1/table/test/describe/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps( + { + "version": 1, + "schema": { + "fields": [ + { + "name": "id", + "type": {"type": "int64"}, + "nullable": False, + } + ] + }, + } + ).encode() + ) + else: + request.send_response(404) + request.end_headers() + + with mock_lancedb_connection(handler) as db: + table = db.create_table("test", [{"id": 1}]) + job = table.refresh_column_async("derived") + assert job.id == "refresh-1" + result = job.wait(timeout=timedelta(seconds=30)) + + assert isinstance(result, lancedb.RefreshColumnResult) + assert result.model_dump() == terminal_result + assert result.rows_filled == 12 + assert result.version == 8 + + def test_remote_job_wait_raises_on_failure(): from lancedb.exceptions import JobFailedError from lancedb.index import BTree @@ -1544,6 +1618,49 @@ def test_query_sync_fts(): ) +def test_query_sync_fts_document_granularity(): + from lancedb.query import DocumentGranularity, MatchQuery + + def handler(body): + assert body == { + "full_text_query": { + "query": { + "match": { + "column": "docs.content", + "terms": "alpha", + "boost": 1.0, + "fuzziness": 0, + "max_expansions": 50, + "operator": "Or", + "prefix_length": 0, + "document_granularity": "list_element", + } + } + }, + "k": 10, + "prefilter": True, + "vector": [], + "version": None, + } + return pa.table( + { + "id": [1, 1], + "_doc_index": pa.array([[0], [4]], type=pa.list_(pa.uint32())), + } + ) + + with query_test_table(handler, server_version=Version("0.6.0")) as table: + result = table.search( + MatchQuery( + "alpha", + "docs.content", + document_granularity=DocumentGranularity.LIST_ELEMENT, + ) + ).to_arrow() + + assert result["_doc_index"].to_pylist() == [[0], [4]] + + def test_query_sync_hybrid(): def handler(body): if "full_text_query" in body: diff --git a/python/python/tests/test_s3.py b/python/python/tests/test_s3.py index 256ccb1d4..70b423adb 100644 --- a/python/python/tests/test_s3.py +++ b/python/python/tests/test_s3.py @@ -4,6 +4,7 @@ import asyncio import copy +from concurrent.futures import ThreadPoolExecutor from datetime import timedelta import threading @@ -86,6 +87,25 @@ def test_s3_lifecycle(s3_bucket: str): asyncio.run(test()) +@pytest.mark.s3_test +def test_concurrent_open_table(s3_bucket: str): + uri = f"s3://{s3_bucket}/test_concurrent_open_table" + db = lancedb.connect(uri, storage_options=copy.copy(CONFIG)) + db.create_table("test", pa.table({"x": [1, 2, 3]})) + + num_workers = 32 + barrier = threading.Barrier(num_workers) + + def open_and_count(_): + barrier.wait() + return db.open_table("test").count_rows() + + with ThreadPoolExecutor(max_workers=num_workers) as pool: + row_counts = list(pool.map(open_and_count, range(num_workers))) + + assert row_counts == [3] * num_workers + + @pytest.fixture() def kms_key(): kms = get_boto3_client("kms", endpoint_url=CONFIG["aws_endpoint"]) diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py index 3287a1778..9e485f8e8 100644 --- a/python/python/tests/test_table.py +++ b/python/python/tests/test_table.py @@ -1467,7 +1467,7 @@ def test_create_index_async_returns_done_job(mem_db: DBConnection): table = mem_db.create_table("job_test", [{"id": i} for i in range(10)]) job = table.create_index_async("id", config=BTree()) assert job.id is None - job.wait() + assert job.wait() is None assert len(table.list_indices()) == 1 job.cancel() @@ -4041,10 +4041,21 @@ def test_refresh_column_async_returns_job(tmp_path): job = table.refresh_column_async("doubled") assert job.id is None # in-process jobs have no server id - assert job.wait() is None + result = job.wait() + assert isinstance(result, lancedb.RefreshColumnResult) + assert result.rows_assigned == 2 + assert result.rows_failed == 0 + assert result.rows_remaining == 0 + assert result.source_version == 2 + assert result.published_version == 3 assert job.status() == "finished" assert sorted(table.to_arrow()["doubled"].to_pylist()) == [2, 4] + no_op = table.refresh_column_async("doubled").wait() + assert no_op.rows_assigned == 0 + assert no_op.source_version == 3 + assert no_op.published_version is None + # Bad input raises at the call, not through the job. with pytest.raises(Exception, match="not a computed column"): table.refresh_column_async("x") @@ -4057,6 +4068,10 @@ async def test_refresh_column_async_job_async_table(tmp_path): await table.add_columns(computed={"tripled": "x * 3"}) job = await table.refresh_column_async("tripled") - assert await job.wait() is None + result = await job.wait() + assert isinstance(result, lancedb.RefreshColumnResult) + assert result.rows_assigned == 1 + assert result.source_version == 2 + assert result.published_version == 3 assert await job.status() == "finished" assert (await table.to_arrow())["tripled"].to_pylist() == [9] diff --git a/python/src/connection.rs b/python/src/connection.rs index 4143ac9c9..902489f4f 100644 --- a/python/src/connection.rs +++ b/python/src/connection.rs @@ -609,7 +609,7 @@ impl Connection { .create_function_async(request) .await .infer_error() - .map(crate::job::FunctionJob::new) + .map(crate::job::Job::new_typed) }) } diff --git a/python/src/index.rs b/python/src/index.rs index a5ca63c68..54b15f55e 100644 --- a/python/src/index.rs +++ b/python/src/index.rs @@ -8,7 +8,7 @@ use lancedb::index::vector::{ }; use lancedb::index::{ Index as LanceDbIndex, - scalar::{BTreeIndexBuilder, FmIndexBuilder, FtsIndexBuilder}, + scalar::{BTreeIndexBuilder, DocumentGranularity, FmIndexBuilder, FtsIndexBuilder}, }; use pyo3::IntoPyObject; use pyo3::types::PyStringMethods; @@ -60,7 +60,11 @@ pub fn extract_index_params(source: &Option>) -> PyResult, num_workers: Option, + document_granularity: String, } #[derive(FromPyObject)] @@ -481,6 +486,7 @@ mod tests { block_size = 128 memory_limit = 2048 num_workers = 7 + document_granularity = 'row' config = FTS()", None, diff --git a/python/src/job.rs b/python/src/job.rs index a08b958a6..688cba7f9 100644 --- a/python/src/job.rs +++ b/python/src/job.rs @@ -5,72 +5,33 @@ use std::sync::Arc; use crate::runtime::future_into_py; use pyo3::{Bound, PyAny, PyRef, PyResult, pyclass, pymethods}; +use serde::Serialize; use crate::error::PythonErrorExt; #[pyclass] pub struct Job { - inner: Arc, -} - -/// Python bridge for a typed remote Function registration job. -/// -/// The public Python layer decodes the canonical JSON returned by `wait` -/// into its immutable `FunctionVersion` model. -#[pyclass] -pub struct FunctionJob { - inner: Arc>, -} - -impl FunctionJob { - pub(crate) fn new(inner: lancedb::Job) -> Self { - Self { - inner: Arc::new(inner), - } - } + inner: Arc, String>>>, } impl Job { pub(crate) fn new(inner: lancedb::Job) -> Self { Self { - inner: Arc::new(inner), + inner: Arc::new(inner.map(|()| Ok(None))), } } -} -#[pymethods] -impl FunctionJob { - #[getter] - pub fn id(&self) -> Option { - self.inner.id().map(str::to_string) - } - - pub fn status(self_: PyRef<'_, Self>) -> PyResult> { - let inner = self_.inner.clone(); - future_into_py( - self_.py(), - async move { inner.status().await.infer_error() }, - ) - } - - pub fn wait(self_: PyRef<'_, Self>) -> PyResult> { - let inner = self_.inner.clone(); - future_into_py(self_.py(), async move { - inner - .wait() - .await - .infer_error()? - .to_canonical_json() - .infer_error() - }) - } - - pub fn cancel(self_: PyRef<'_, Self>) -> PyResult> { - let inner = self_.inner.clone(); - future_into_py(self_.py(), async move { - inner.cancel().await.infer_error()?; - Ok(()) - }) + pub(crate) fn new_typed(inner: lancedb::Job) -> Self + where + T: Clone + Serialize + Send + Sync + 'static, + { + Self { + inner: Arc::new(inner.map(|result| { + serde_json::to_string(&result) + .map(Some) + .map_err(|error| format!("failed to serialize typed job result: {error}")) + })), + } } } @@ -92,8 +53,10 @@ impl Job { pub fn wait(self_: PyRef<'_, Self>) -> PyResult> { let inner = self_.inner.clone(); future_into_py(self_.py(), async move { - inner.wait().await.infer_error()?; - Ok(None::<()>) + let result = inner.wait().await.infer_error()?; + result + .map_err(|message| lancedb::Error::Runtime { message }) + .infer_error() }) } diff --git a/python/src/lib.rs b/python/src/lib.rs index c1dfbc02b..8d3eab787 100644 --- a/python/src/lib.rs +++ b/python/src/lib.rs @@ -47,7 +47,6 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_class::()?; m.add_class::()?; m.add_class::()?; - m.add_class::()?; m.add_class::()?; m.add_class::()?; m.add_class::()?; diff --git a/python/src/query.rs b/python/src/query.rs index affbdf4fd..014e79e2d 100644 --- a/python/src/query.rs +++ b/python/src/query.rs @@ -16,8 +16,8 @@ use arrow::pyarrow::FromPyArrow; use arrow::pyarrow::IntoPyArrow; use arrow::pyarrow::ToPyArrow; use lancedb::index::scalar::{ - BooleanQuery, BoostQuery, FtsQuery, FullTextSearchQuery, MatchQuery, MultiMatchQuery, Occur, - Operator, PhraseQuery, + BooleanQuery, BoostQuery, DocumentGranularity, FtsQuery, FullTextSearchQuery, MatchQuery, + MultiMatchQuery, Occur, Operator, PhraseQuery, }; use lancedb::query::AnalyzePlanDistributedMetrics; use lancedb::query::QueryBase; @@ -76,8 +76,16 @@ impl<'a, 'py> FromPyObject<'a, 'py> for PyLanceDB { let max_expansions = ob.getattr("max_expansions")?.extract()?; let operator = ob.getattr("operator")?.extract::()?; let prefix_length = ob.getattr("prefix_length")?.extract()?; + let document_granularity = ob + .getattr("document_granularity")? + .extract::>()? + .map(|value| { + DocumentGranularity::try_from(value.as_str()) + .map_err(|err| PyValueError::new_err(err.to_string())) + }) + .transpose()?; - Ok(Self( + let mut query = MatchQuery::new(query) .with_column(Some(column)) .with_boost(boost) @@ -86,21 +94,32 @@ impl<'a, 'py> FromPyObject<'a, 'py> for PyLanceDB { .with_operator(Operator::try_from(operator.as_str()).map_err(|e| { PyValueError::new_err(format!("Invalid operator: {}", e)) })?) - .with_prefix_length(prefix_length) - .into(), - )) + .with_prefix_length(prefix_length); + if let Some(document_granularity) = document_granularity { + query = query.with_document_granularity(document_granularity); + } + Ok(Self(query.into())) } "PhraseQuery" => { let query = ob.getattr("query")?.extract()?; let column = ob.getattr("column")?.extract()?; let slop = ob.getattr("slop")?.extract()?; + let document_granularity = ob + .getattr("document_granularity")? + .extract::>()? + .map(|value| { + DocumentGranularity::try_from(value.as_str()) + .map_err(|err| PyValueError::new_err(err.to_string())) + }) + .transpose()?; - Ok(Self( - PhraseQuery::new(query) - .with_column(Some(column)) - .with_slop(slop) - .into(), - )) + let mut query = PhraseQuery::new(query) + .with_column(Some(column)) + .with_slop(slop); + if let Some(document_granularity) = document_granularity { + query = query.with_document_granularity(document_granularity); + } + Ok(Self(query.into())) } "BoostQuery" => { let positive: Self = ob.getattr("positive")?.extract()?; @@ -167,6 +186,13 @@ impl<'py> IntoPyObject<'py> for PyLanceDB { kwargs.set_item("max_expansions", query.max_expansions)?; kwargs.set_item::<_, &str>("operator", query.operator.into())?; kwargs.set_item("prefix_length", query.prefix_length)?; + if let Some(document_granularity) = query.document_granularity { + let value = match document_granularity { + DocumentGranularity::Row => "row", + DocumentGranularity::ListElement => "list_element", + }; + kwargs.set_item("document_granularity", value)?; + } namespace .getattr(intern!(py, "MatchQuery"))? .call((query.terms, query.column.unwrap()), Some(&kwargs)) @@ -174,6 +200,13 @@ impl<'py> IntoPyObject<'py> for PyLanceDB { FtsQuery::Phrase(query) => { let kwargs = PyDict::new(py); kwargs.set_item("slop", query.slop)?; + if let Some(document_granularity) = query.document_granularity { + let value = match document_granularity { + DocumentGranularity::Row => "row", + DocumentGranularity::ListElement => "list_element", + }; + kwargs.set_item("document_granularity", value)?; + } namespace .getattr(intern!(py, "PhraseQuery"))? .call((query.terms, query.column.unwrap()), Some(&kwargs)) diff --git a/python/src/table.rs b/python/src/table.rs index 0553a0925..04343e890 100644 --- a/python/src/table.rs +++ b/python/src/table.rs @@ -903,15 +903,19 @@ impl Table { }) } - #[pyo3(signature = (data, mode, progress=None, write_parallelism=None))] + #[pyo3(signature = (data, mode, progress=None, write_parallelism=None, allow_external_blob_outside_bases=false))] pub fn add<'a>( self_: PyRef<'a, Self>, data: PyScannable, mode: String, progress: Option>, write_parallelism: Option, + allow_external_blob_outside_bases: bool, ) -> PyResult> { - let mut op = self_.inner_ref()?.add(data); + let mut op = self_ + .inner_ref()? + .add(data) + .allow_external_blob_outside_bases(allow_external_blob_outside_bases); if mode == "append" { op = op.mode(AddDataMode::Append); } else if mode == "overwrite" { @@ -1744,7 +1748,7 @@ impl Table { let inner = self_.inner_ref()?.clone(); future_into_py(self_.py(), async move { let job = inner.refresh_column_async(column).await.infer_error()?; - Ok(crate::job::Job::new(job)) + Ok(crate::job::Job::new_typed(job)) }) } diff --git a/rust/lancedb/Cargo.toml b/rust/lancedb/Cargo.toml index f785e6743..a71e3c948 100644 --- a/rust/lancedb/Cargo.toml +++ b/rust/lancedb/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "lancedb" -version = "0.38.0-beta.3" +version = "0.38.0-beta.11" edition.workspace = true description = "LanceDB: A serverless, low-latency vector database for AI applications" license.workspace = true diff --git a/rust/lancedb/src/connection.rs b/rust/lancedb/src/connection.rs index 187e2df0e..5f66d9dee 100644 --- a/rust/lancedb/src/connection.rs +++ b/rust/lancedb/src/connection.rs @@ -1679,6 +1679,50 @@ mod tests { assert_eq!(tables, names[..7]); } + #[tokio::test] + async fn test_list_tables_walks_page_boundaries() { + let tc = new_test_connection().await.unwrap(); + if tc.is_remote { + // What resumes a page is the server's to decide, and asserting it here would be + // asserting the server's contract rather than this one. + return; + } + let db = tc.connection; + let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)])); + let mut names = Vec::with_capacity(5); + for _ in 0..5 { + let name = uuid::Uuid::new_v4().to_string(); + names.push(name.clone()); + db.create_empty_table(name, schema.clone()) + .execute() + .await + .unwrap(); + } + names.sort(); + + // Walking in pages has to reach every table exactly once, with nothing lost at a + // page boundary. + let mut seen = Vec::with_capacity(names.len()); + let mut page_token = None; + loop { + let page = db + .list_tables(ListTablesRequest { + id: Some(Vec::new()), + limit: Some(2), + page_token, + ..Default::default() + }) + .await + .unwrap(); + seen.extend(page.tables); + page_token = page.page_token.filter(|token| !token.is_empty()); + if page_token.is_none() { + break; + } + } + assert_eq!(seen, names); + } + #[tokio::test] async fn test_open_table() { let tc = new_test_connection().await.unwrap(); diff --git a/rust/lancedb/src/database/listing.rs b/rust/lancedb/src/database/listing.rs index c9e9bcb22..064b5d28f 100644 --- a/rust/lancedb/src/database/listing.rs +++ b/rust/lancedb/src/database/listing.rs @@ -974,17 +974,15 @@ impl Database for ListingDatabase { f.drain(0..index); } - // Determine if there's a next page - let next_page_token = if let Some(limit) = request.limit { - if f.len() > limit as usize { - let token = f[limit as usize].clone(); + // Determine if there's a next page. The token is the last name of this page, + // not the first of the next one: the next page resumes strictly after the + // token, so naming the next page's first entry would skip it. + let next_page_token = match request.limit { + Some(limit) if f.len() > limit as usize => { f.truncate(limit as usize); - Some(token) - } else { - None + f.last().cloned() } - } else { - None + _ => None, }; Ok(ListTablesResponse { @@ -1478,7 +1476,7 @@ mod tests { use crate::table::{AnyQuery, WriteOptions}; use arrow_array::{Int32Array, RecordBatch, StringArray}; use arrow_schema::{DataType, Field, Schema, SchemaRef}; - use futures::{TryStreamExt, stream::once}; + use futures::{TryStreamExt, future::try_join_all, stream::once}; use std::path::PathBuf; use std::sync::Arc; use std::time::Duration; @@ -1616,6 +1614,59 @@ mod tests { ); } + #[tokio::test] + async fn test_concurrent_open_table_reuses_connection_object_store() { + let tempdir = tempdir().unwrap(); + let uri = tempdir.path().to_str().unwrap(); + let session = Arc::new(lance::session::Session::default()); + let request = ConnectRequest { + uri: uri.to_string(), + #[cfg(feature = "remote")] + client_config: Default::default(), + options: Default::default(), + namespace_client_properties: Default::default(), + manifest_enabled: false, + read_consistency_interval: None, + session: Some(session.clone()), + }; + let db = ListingDatabase::connect_with_options(&request) + .await + .unwrap(); + let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int32, false)])); + db.create_table(CreateTableRequest { + name: "test".to_string(), + namespace_path: vec![], + data: Box::new(RecordBatch::new_empty(schema)) as Box, + mode: CreateTableMode::Create, + write_options: Default::default(), + location: None, + namespace_client: None, + }) + .await + .unwrap(); + + let before = session.store_registry().stats(); + let opened_tables = try_join_all((0..32).map(|_| { + db.open_table(OpenTableRequest { + name: "test".to_string(), + namespace_path: vec![], + index_cache_size: None, + lance_read_params: None, + location: None, + namespace_client: None, + managed_versioning: None, + }) + })) + .await + .unwrap(); + let after = session.store_registry().stats(); + + assert_eq!(opened_tables.len(), 32); + assert_eq!(after.misses, before.misses); + assert_eq!(after.active_stores, before.active_stores); + assert!(after.hits >= before.hits + 32); + } + #[tokio::test] async fn test_listing_database_root_ops_do_not_create_manifest() { let tempdir = tempdir().unwrap(); diff --git a/rust/lancedb/src/dataloader/permutation/builder.rs b/rust/lancedb/src/dataloader/permutation/builder.rs index a3700d0ef..ba0d0e180 100644 --- a/rust/lancedb/src/dataloader/permutation/builder.rs +++ b/rust/lancedb/src/dataloader/permutation/builder.rs @@ -27,6 +27,12 @@ pub const SRC_ROW_ID_COL: &str = "row_id"; pub const SPLIT_NAMES_CONFIG_KEY: &str = "split_names"; +/// Base table version the permutation was built against. +pub const BASE_VERSION_CONFIG_KEY: &str = "base_version"; + +/// Base table branch the permutation was built against. Absent means main. +pub const BASE_BRANCH_CONFIG_KEY: &str = "base_branch"; + pub const DEFAULT_MEMORY_LIMIT: usize = 100 * 1024 * 1024; /// Where to store the permutation table @@ -214,21 +220,11 @@ impl PermutationBuilder { Ok(Box::pin(SimpleRecordBatchStream { schema, stream })) } - fn add_split_names( + fn add_config_metadata( data: SendableRecordBatchStream, - split_names: &[String], + metadata: HashMap, ) -> Result { - let schema = data - .schema() - .as_ref() - .clone() - .with_metadata(HashMap::from([( - SPLIT_NAMES_CONFIG_KEY.to_string(), - serde_json::to_string(split_names).map_err(|e| Error::Other { - message: format!("Failed to serialize split names: {}", e), - source: Some(e.into()), - })?, - )])); + let schema = data.schema().as_ref().clone().with_metadata(metadata); let schema = Arc::new(schema); let schema_clone = schema.clone(); let stream = data.map_ok(move |batch| batch.with_schema(schema.clone()).unwrap()); @@ -239,7 +235,20 @@ impl PermutationBuilder { } /// Builds the permutation table and stores it in the given database. - pub async fn build(self) -> Result
{ + pub async fn build(mut self) -> Result
{ + // Remote tables resolve latest independently for each request. Use a + // separate pinned handle so count, projection, and scan all refer to one + // snapshot without changing the caller's table checkout state. Native + // tables return `None` here and retain their existing behavior. + if let Some(snapshot) = self + .base_table + .base_table() + .snapshot_at_current_version() + .await? + { + self.base_table = Table::from(snapshot); + } + // Unflushed rows have no row id, so a permutation cannot address them. match self.base_table.base_table().get_lsm_write_spec().await { Ok(Some(_)) => { @@ -256,9 +265,14 @@ impl PermutationBuilder { Err(err) => return Err(err), } + // The handle above is already pinned to one version. Record which one, so a + // reader -- in a DataLoader worker, against a table that has since moved -- + // resolves these row addresses against the same snapshot. + let base_version = self.base_table.version().await?; + let base_branch = self.base_table.current_branch(); + // First pass, apply filter and load row ids. `Shuffler` permutes positions, so // every rank must scan the rows in the same order to build the same permutation. - // TODO: pin the version resolved here; remote does not implement Lazy. let mut rows = self.base_table.query().select(Select::columns(&[ROW_ID])); if let Some(filter) = &self.config.filter { @@ -318,11 +332,24 @@ impl PermutationBuilder { // Rename _rowid to row_id let renamed = rename_column(sorted, ROW_ID, SRC_ROW_ID_COL)?; - let streaming_data = if let Some(split_names) = &self.config.split_names { - Self::add_split_names(renamed, split_names)? - } else { - renamed - }; + let mut metadata = HashMap::from([( + BASE_VERSION_CONFIG_KEY.to_string(), + base_version.to_string(), + )]); + // Version numbers are per-branch, so the branch is part of the coordinate. + if let Some(branch) = &base_branch { + metadata.insert(BASE_BRANCH_CONFIG_KEY.to_string(), branch.clone()); + } + if let Some(split_names) = &self.config.split_names { + metadata.insert( + SPLIT_NAMES_CONFIG_KEY.to_string(), + serde_json::to_string(split_names).map_err(|e| Error::Other { + message: format!("Failed to serialize split names: {}", e), + source: Some(e.into()), + })?, + ); + } + let streaming_data = Self::add_config_metadata(renamed, metadata)?; let (name, database) = match &self.config.destination { PermutationDestination::Permanent(database, table_name) => { @@ -409,6 +436,253 @@ mod tests { assert!(table.base_table().scan_order_is_deterministic()); } + #[cfg(feature = "remote")] + #[tokio::test] + async fn test_remote_permutation_builder_pins_snapshot() { + use std::sync::{ + Mutex, + atomic::{AtomicU64, Ordering}, + }; + + use arrow_array::{RecordBatch, UInt64Array}; + use arrow_schema::{DataType, Field, Schema}; + + let row_ids = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new( + ROW_ID, + DataType::UInt64, + false, + )])), + vec![Arc::new(UInt64Array::from(vec![100]))], + ) + .unwrap(); + let mut query_body = Vec::new(); + { + let mut writer = + arrow_ipc::writer::FileWriter::try_new(&mut query_body, &row_ids.schema()).unwrap(); + writer.write(&row_ids).unwrap(); + writer.finish().unwrap(); + } + + let latest = Arc::new(AtomicU64::new(7)); + let expected_snapshot = Arc::new(AtomicU64::new(7)); + let planning_versions = Arc::new(Mutex::new(Vec::new())); + let latest_ref = latest.clone(); + let expected_snapshot_ref = expected_snapshot.clone(); + let planning_versions_ref = planning_versions.clone(); + let table = Table::new_with_handler("remote_base", move |request| { + let path = request.url().path(); + let body = request + .body() + .and_then(|body| body.as_bytes()) + .map(|body| serde_json::from_slice::(body).unwrap()); + + match path { + "/v1/table/remote_base/describe/" => { + let requested = body.as_ref().and_then(|body| body["version"].as_u64()); + let version = requested.unwrap_or_else(|| latest_ref.load(Ordering::SeqCst)); + http::Response::builder() + .status(200) + .body( + format!(r#"{{"version":{version},"schema":{{"fields":[]}}}}"#) + .into_bytes(), + ) + .unwrap() + } + "/v1/table/remote_base/get_lsm_write_spec/" => http::Response::builder() + .status(200) + .body(br#"{"lsm_write_spec":null}"#.to_vec()) + .unwrap(), + "/v1/table/remote_base/count_rows/" => { + let body = body.unwrap(); + let version = body["version"].as_u64().unwrap(); + assert_eq!(version, expected_snapshot_ref.load(Ordering::SeqCst)); + assert_eq!(body["predicate"], "value > 0"); + planning_versions_ref.lock().unwrap().push(version); + + // Simulate a concurrent append after count_rows. An unpinned + // scan would now resolve version 8 and include different rows. + latest_ref.store(8, Ordering::SeqCst); + http::Response::builder() + .status(200) + .body(b"1".to_vec()) + .unwrap() + } + "/v1/table/remote_base/query/" => { + let body = body.unwrap(); + let version = body["version"].as_u64().unwrap(); + assert_eq!(version, expected_snapshot_ref.load(Ordering::SeqCst)); + assert_eq!(body["filter"], "value > 0"); + assert_eq!(body["columns"], serde_json::json!([ROW_ID])); + planning_versions_ref.lock().unwrap().push(version); + http::Response::builder() + .status(200) + .header("content-type", "application/vnd.apache.arrow.file") + .body(query_body.clone()) + .unwrap() + } + _ => panic!("unexpected request: {path}"), + } + }); + + let permutation = PermutationBuilder::new(table.clone()) + .with_filter("value > 0".to_string()) + .build() + .await + .unwrap(); + assert_eq!(permutation.count_rows(None).await.unwrap(), 1); + + // Building uses a separate handle and must not pin the caller's table. + assert_eq!(table.version().await.unwrap(), 8); + + // An explicit checkout is copied as-is and remains checked out afterward. + expected_snapshot.store(6, Ordering::SeqCst); + table.checkout(6).await.unwrap(); + let permutation = PermutationBuilder::new(table.clone()) + .with_filter("value > 0".to_string()) + .build() + .await + .unwrap(); + assert_eq!(permutation.count_rows(None).await.unwrap(), 1); + assert_eq!(table.version().await.unwrap(), 6); + assert_eq!(*planning_versions.lock().unwrap(), vec![7, 7, 6, 6]); + } + + #[tokio::test] + async fn test_permutation_records_base_version() { + let temp_dir = tempfile::tempdir().unwrap(); + + let db = connect(temp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + + let initial_data = lance_datagen::gen_batch() + .col("col_a", lance_datagen::array::step::()) + .into_ldb_stream(RowCount::from(100), BatchCount::from(2)); + let data_table = db + .create_table("base_tbl", initial_data) + .execute() + .await + .unwrap(); + + let build_version = data_table.version().await.unwrap(); + let permutation_table = PermutationBuilder::new(data_table.clone()) + .build() + .await + .unwrap(); + + let recorded = permutation_table + .schema() + .await + .unwrap() + .metadata + .get(BASE_VERSION_CONFIG_KEY) + .expect("permutation should record the base version") + .parse::() + .unwrap(); + assert_eq!(recorded, build_version); + + // Advancing the base table must not move the recorded version. + let more_data = lance_datagen::gen_batch() + .col("col_a", lance_datagen::array::step::()) + .into_ldb_stream(RowCount::from(50), BatchCount::from(1)); + data_table.add(more_data).execute().await.unwrap(); + assert!(data_table.version().await.unwrap() > recorded); + assert_eq!( + permutation_table + .schema() + .await + .unwrap() + .metadata + .get(BASE_VERSION_CONFIG_KEY) + .unwrap() + .parse::() + .unwrap(), + recorded, + ); + } + + /// Version numbers are per-branch, so a permutation built on a branch must record + /// it -- a worker reopens by name and lands on main at the same number. + #[tokio::test] + async fn test_permutation_records_base_branch() { + let temp_dir = tempfile::tempdir().unwrap(); + let db = connect(temp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + + let initial_data = lance_datagen::gen_batch() + .col("col_a", lance_datagen::array::step::()) + .into_ldb_stream(RowCount::from(10), BatchCount::from(1)); + let data_table = db + .create_table("base_tbl", initial_data) + .execute() + .await + .unwrap(); + + let branch = data_table + .create_branch("exp", lance::dataset::refs::Ref::from(("main", 1))) + .await + .unwrap(); + let permutation_table = PermutationBuilder::new(branch.clone()) + .build() + .await + .unwrap(); + + let metadata = permutation_table.schema().await.unwrap().metadata.clone(); + assert_eq!( + metadata.get(BASE_BRANCH_CONFIG_KEY).map(String::as_str), + Some("exp") + ); + + // Main records nothing, so an absent key keeps meaning main. + let main_permutation = PermutationBuilder::new(data_table.clone()) + .build() + .await + .unwrap(); + assert!( + !main_permutation + .schema() + .await + .unwrap() + .metadata + .contains_key(BASE_BRANCH_CONFIG_KEY) + ); + } + + #[tokio::test] + async fn test_build_does_not_pin_the_callers_table() { + let temp_dir = tempfile::tempdir().unwrap(); + + let db = connect(temp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + + let initial_data = lance_datagen::gen_batch() + .col("col_a", lance_datagen::array::step::()) + .into_ldb_stream(RowCount::from(100), BatchCount::from(1)); + let data_table = db + .create_table("base_tbl", initial_data) + .execute() + .await + .unwrap(); + + PermutationBuilder::new(data_table.clone()) + .build() + .await + .unwrap(); + + // The builder pins its own handle; the caller's must still track latest. + let more_data = lance_datagen::gen_batch() + .col("col_a", lance_datagen::array::step::()) + .into_ldb_stream(RowCount::from(50), BatchCount::from(1)); + data_table.add(more_data).execute().await.unwrap(); + assert_eq!(data_table.count_rows(None).await.unwrap(), 150); + } + #[tokio::test] async fn test_permutation_builder() { let temp_dir = tempfile::tempdir().unwrap(); diff --git a/rust/lancedb/src/dataloader/permutation/reader.rs b/rust/lancedb/src/dataloader/permutation/reader.rs index 6da92e986..9757dc552 100644 --- a/rust/lancedb/src/dataloader/permutation/reader.rs +++ b/rust/lancedb/src/dataloader/permutation/reader.rs @@ -8,7 +8,9 @@ //! the rows from a source table that correspond to row IDs stored in a separate table. use crate::arrow::{SendableRecordBatchStream, SimpleRecordBatchStream}; -use crate::dataloader::permutation::builder::SRC_ROW_ID_COL; +use crate::dataloader::permutation::builder::{ + BASE_BRANCH_CONFIG_KEY, BASE_VERSION_CONFIG_KEY, SRC_ROW_ID_COL, +}; use crate::dataloader::permutation::split::SPLIT_ID_COLUMN; use crate::error::Error; use crate::query::{ @@ -23,6 +25,7 @@ use arrow_array::{RecordBatch, UInt64Array}; use arrow_schema::SchemaRef; use datafusion_expr::{Expr, col, lit}; use futures::{StreamExt, TryStreamExt}; +use lance::dataset::refs::MAIN_BRANCH; use lance::dataset::scanner::DatasetRecordBatchStream; use lance::io::RecordBatchStream; use lance_arrow::RecordBatchExt; @@ -69,6 +72,10 @@ impl PermutationReader { permutation_table: Option>, split: u64, ) -> Result { + let base_table = match &permutation_table { + Some(permutation_table) => Self::pin_base_table(base_table, permutation_table).await?, + None => base_table, + }; let mut slf = Self { base_table, permutation_table, @@ -89,6 +96,34 @@ impl PermutationReader { Ok(slf) } + /// Pins the base table to the version the permutation was built against. + /// Permutations written before that was recorded carry no key and stay unpinned. + async fn pin_base_table( + base_table: Arc, + permutation_table: &Arc, + ) -> Result> { + let schema = permutation_table.schema().await?; + let Some(raw) = schema.metadata.get(BASE_VERSION_CONFIG_KEY) else { + return Ok(base_table); + }; + let version = raw.parse::().map_err(|e| Error::InvalidInput { + message: format!( + "Permutation table has an unreadable {} of {:?}: {}", + BASE_VERSION_CONFIG_KEY, raw, e + ), + })?; + // The recorded branch, not the handle's: a worker reopens by name and lands + // on main, and version numbers are per-branch. + let branch = schema + .metadata + .get(BASE_BRANCH_CONFIG_KEY) + .map(String::as_str) + .unwrap_or(MAIN_BRANCH); + base_table + .checkout_branch_version(branch, Some(version)) + .await + } + pub async fn try_from_tables( base_table: Arc, permutation_table: Arc, @@ -511,9 +546,13 @@ mod tests { use lance_datagen::{BatchCount, RowCount}; use rand::seq::SliceRandom; + // Aliased: `test_utils::datagen` exports a trait of the same name. + use crate::arrow::LanceDbDatagenExt as _; use crate::{ Table, arrow::SendableRecordBatchStream, + connect, + dataloader::permutation::builder::PermutationBuilder, query::{ExecutableQuery, QueryBase}, test_utils::datagen::{LanceDbDatagenExt, virtual_table}, }; @@ -545,6 +584,58 @@ mod tests { .await } + /// Compaction moves row addresses, so the reader must read the pinned version. + #[tokio::test] + async fn test_reader_pins_base_version() { + let temp_dir = tempfile::tempdir().unwrap(); + let db = connect(temp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + + let data = lance_datagen::gen_batch() + .col("idx", lance_datagen::array::step::()) + .into_ldb_stream(RowCount::from(20), BatchCount::from(1)); + let base_table = db.create_table("base_tbl", data).execute().await.unwrap(); + + let permutation_table = PermutationBuilder::new(base_table.clone()) + .build() + .await + .unwrap(); + + base_table.delete("true").await.unwrap(); + base_table + .optimize(crate::table::OptimizeAction::All) + .await + .unwrap(); + assert_eq!(base_table.count_rows(None).await.unwrap(), 0); + + let reader = PermutationReader::try_from_tables( + base_table.base_table().clone(), + permutation_table.base_table().clone(), + 0, + ) + .await + .unwrap(); + + let values = collect_from_stream::( + reader + .read( + Select::Columns(vec!["idx".to_string()]), + QueryExecutionOptions::default(), + ) + .await + .unwrap(), + "idx", + ) + .await; + assert_eq!( + values.len(), + 20, + "reader should still see the pinned version" + ); + } + #[tokio::test] async fn test_permutation_reader() { let base_table = lance_datagen::gen_batch() diff --git a/rust/lancedb/src/expr.rs b/rust/lancedb/src/expr.rs index 75cce443d..da69914e3 100644 --- a/rust/lancedb/src/expr.rs +++ b/rust/lancedb/src/expr.rs @@ -19,6 +19,7 @@ mod sql; +pub(crate) use sql::canonicalize_sql_predicate; pub use sql::expr_to_sql_string; use std::sync::Arc; diff --git a/rust/lancedb/src/expr/sql.rs b/rust/lancedb/src/expr/sql.rs index 23b89821a..24a676485 100644 --- a/rust/lancedb/src/expr/sql.rs +++ b/rust/lancedb/src/expr/sql.rs @@ -1,10 +1,16 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors +use std::any::TypeId; + use datafusion_common::ScalarValue; use datafusion_common::tree_node::{Transformed, TreeNode, TreeNodeRecursion}; use datafusion_expr::Expr; -use datafusion_sql::unparser::{self, dialect::Dialect}; +use datafusion_sql::sqlparser::{ + dialect::{Dialect as SqlParserDialect, GenericDialect}, + tokenizer::{Token, Tokenizer}, +}; +use datafusion_sql::unparser::{self, dialect::Dialect as UnparserDialect}; /// Unparser dialect that matches the quoting style expected by the Lance SQL /// parser. Lance uses backtick (`` ` ``) as the only delimited-identifier @@ -19,7 +25,7 @@ use datafusion_sql::unparser::{self, dialect::Dialect}; /// lower-case by the SQL parser, which would break case-sensitive schemas). struct LanceSqlDialect; -impl Dialect for LanceSqlDialect { +impl UnparserDialect for LanceSqlDialect { fn identifier_quote_style(&self, identifier: &str) -> Option { let needs_quote = identifier.chars().any(|c| c.is_ascii_uppercase()) || !identifier @@ -30,6 +36,61 @@ impl Dialect for LanceSqlDialect { } } +/// Lance's tokenizer dialect with SQL-standard double-quoted identifiers added. +/// +/// Keep this deliberately small: Lance's parser wraps `GenericDialect` and +/// delegates only identifier recognition, leaving every other dialect option at +/// its default. In particular, `/*! ... */` remains an ordinary block comment. +#[derive(Debug, Default)] +struct PredicateDialect(GenericDialect); + +impl SqlParserDialect for PredicateDialect { + fn dialect(&self) -> TypeId { + self.0.dialect() + } + + fn is_identifier_start(&self, ch: char) -> bool { + self.0.is_identifier_start(ch) + } + + fn is_identifier_part(&self, ch: char) -> bool { + self.0.is_identifier_part(ch) + } + + fn is_delimited_identifier_start(&self, ch: char) -> bool { + ch == '"' || ch == '`' + } +} + +/// Canonicalize a raw SQL predicate for Lance's parser. +/// +/// Lance wraps [`GenericDialect`] for identifier recognition while retaining the +/// default dialect behavior for every other lexical option. [`PredicateDialect`] +/// mirrors that contract and additionally recognizes `"` as an identifier +/// delimiter, allowing this function to rewrite only those identifier tokens. +pub fn canonicalize_sql_predicate(predicate: &str) -> crate::Result { + let dialect = PredicateDialect::default(); + let tokens = Tokenizer::new(&dialect, predicate) + .with_unescape(false) + .tokenize() + .map_err(|err| crate::Error::InvalidInput { + message: format!("invalid SQL predicate: {err}"), + })?; + + Ok(tokens + .into_iter() + .map(|token| match token { + Token::Word(word) if word.quote_style == Some('"') => { + // with_unescape(false) retains doubled double quotes. Decode + // those before escaping any backticks for Lance's delimiter. + let identifier = word.value.replace("\"\"", "\"").replace('`', "``"); + format!("`{identifier}`") + } + other => other.to_string(), + }) + .collect()) +} + /// Prefix for placeholder strings inserted in place of binary literals. Chosen /// to be extremely unlikely to occur in user data. const BINARY_PLACEHOLDER_PREFIX: &str = "__lancedb_binary_placeholder_"; @@ -113,3 +174,51 @@ pub fn expr_to_sql_string(expr: &Expr) -> crate::Result { } Ok(sql) } + +#[cfg(test)] +mod tests { + use super::canonicalize_sql_predicate; + + #[test] + fn normalizes_double_quoted_identifiers() { + assert_eq!( + canonicalize_sql_predicate(r#""PartyAbbrev" = 'D'"#).unwrap(), + "`PartyAbbrev` = 'D'" + ); + assert_eq!( + canonicalize_sql_predicate(r#""MetaData"."userId" = 5"#).unwrap(), + "`MetaData`.`userId` = 5" + ); + assert_eq!( + canonicalize_sql_predicate(r#""a""b" = 1"#).unwrap(), + "`a\"b` = 1" + ); + } + + #[test] + fn preserves_quotes_inside_literals_and_backticks() { + let filter = r#"name = 'Alice "Ace"' AND `quoted"field` = 1"#; + assert_eq!(canonicalize_sql_predicate(filter).unwrap(), filter); + } + + #[test] + fn preserves_literals_and_comments_using_lance_dialect_rules() { + let predicate = r#"path = '\' AND "PartyAbbrev" = 'D' -- unmatched " in comment"#; + assert_eq!( + canonicalize_sql_predicate(predicate).unwrap(), + r#"path = '\' AND `PartyAbbrev` = 'D' -- unmatched " in comment"# + ); + + let predicate = r#"id = 1 /* unmatched " in block comment */"#; + assert_eq!(canonicalize_sql_predicate(predicate).unwrap(), predicate); + + let predicate = r#"id = 1 /*! OR "PartyAbbrev" = 'D' */"#; + assert_eq!(canonicalize_sql_predicate(predicate).unwrap(), predicate); + } + + #[test] + fn rejects_unterminated_double_quoted_identifier() { + let error = canonicalize_sql_predicate(r#""PartyAbbrev = 'D'"#).unwrap_err(); + assert!(matches!(error, crate::Error::InvalidInput { .. })); + } +} diff --git a/rust/lancedb/src/function.rs b/rust/lancedb/src/function.rs index 835fca9a2..5366d984e 100644 --- a/rust/lancedb/src/function.rs +++ b/rust/lancedb/src/function.rs @@ -1,10 +1,11 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors -//! Canonical values exchanged with the Enterprise Function service. +//! Canonical Function values exchanged with the Enterprise service, plus the +//! backend-neutral terminal result of a computed-column refresh. //! //! This module contains client/wire values only. Catalog persistence, -//! environment bake, secret resolution, and execution are owned by Sophon. +//! environment bake, and execution are owned by Sophon. use std::collections::BTreeMap; @@ -185,6 +186,9 @@ pub struct PythonEnvironmentSpec { pub kind: String, #[serde(default, skip_serializing_if = "Vec::is_empty")] pub packages: Vec, + /// Conda channels in priority order; conda environments only. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub channels: Vec, #[serde(default, skip_serializing_if = "Option::is_none")] pub path: Option, #[serde(default, skip_serializing_if = "Vec::is_empty")] @@ -194,9 +198,6 @@ pub struct PythonEnvironmentSpec { } /// Reproducible Python runtime definition understood by Sophon. -/// -/// `env` contains non-secret values. Secret values have no client model; -/// [`FunctionVersion::required_secrets`] contains names only. #[derive(Debug, Clone, PartialEq, Eq)] #[non_exhaustive] pub enum PythonRuntimeSpec { @@ -238,7 +239,7 @@ impl PythonRuntimeSpec { } } - /// Non-secret environment variables, or `None` for an unknown kind. + /// Environment variables, or `None` for an unknown kind. pub fn env(&self) -> Option<&BTreeMap> { match self { Self::Python { env, .. } => Some(env), @@ -323,8 +324,6 @@ pub struct FunctionVersion { runtime: PythonRuntimeSpec, runtime_digest: String, environment_digest: String, - #[serde(default, skip_serializing_if = "Vec::is_empty")] - required_secrets: Vec, created_at: String, } @@ -357,11 +356,6 @@ impl FunctionVersion { &self.environment_digest } - /// Required secret names. Resolved values exist only inside Sophon. - pub fn required_secrets(&self) -> &[String] { - &self.required_secrets - } - pub fn created_at(&self) -> &str { &self.created_at } @@ -403,18 +397,12 @@ pub struct FunctionArtifactRequest { } /// Stable request envelope for remote immutable Function registration. -/// -/// Secret values deliberately have no field in this model. The only secret -/// material the client may send is the ordered set of names Sophon resolves -/// inside the remote runtime. #[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] pub struct FunctionRegistrationRequest { pub name: String, pub artifact: FunctionArtifactRequest, pub signature: FunctionSignature, pub runtime: PythonRuntimeSpec, - #[serde(default, skip_serializing_if = "Vec::is_empty")] - pub required_secrets: Vec, } impl_json!(FunctionRegistrationRequest); @@ -445,7 +433,6 @@ pub struct FunctionApplication { function: FunctionVersionRef, inputs: Vec, output: FunctionOutput, - group_id: String, #[serde(default, skip_serializing_if = "BTreeMap::is_empty")] columns: BTreeMap, #[serde(default, flatten, skip_serializing)] @@ -467,10 +454,6 @@ impl FunctionApplication { &self.output } - pub fn group_id(&self) -> &str { - &self.group_id - } - pub fn columns(&self) -> &BTreeMap { &self.columns } @@ -512,7 +495,7 @@ pub struct InputBinding { pub nullable: bool, } -/// Ordered result-field to table-field mapping for a grouped binding. +/// Ordered result-field to table-field mapping for a Function binding. /// /// Assignment state is not part of the Slice 1 client contract. During the /// NULL transition there is no public Lance cell-flag identifier to persist. @@ -526,20 +509,18 @@ pub struct OutputMapping { pub nullable: bool, } -/// Immutable grouped binding persisted by the Enterprise table service. +/// Immutable Function binding persisted by the Enterprise table service. #[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] pub struct FunctionBinding { binding_id: String, - revision: u64, function: FunctionVersionRef, - group_id: String, inputs: Vec, outputs: Vec, /// Exact Arrow schema presented to the Function, encoded with the Lance /// Namespace Arrow JSON representation. #[serde(default, skip_serializing_if = "Option::is_none")] input_schema: Option, - /// Exact physical Arrow schema of the grouped table outputs. + /// Exact physical Arrow schema of the binding's table outputs. #[serde(default, skip_serializing_if = "Option::is_none")] output_schema: Option, } @@ -549,18 +530,10 @@ impl FunctionBinding { &self.binding_id } - pub fn revision(&self) -> u64 { - self.revision - } - pub fn function(&self) -> &FunctionVersionRef { &self.function } - pub fn group_id(&self) -> &str { - &self.group_id - } - pub fn inputs(&self) -> &[InputBinding] { &self.inputs } @@ -580,13 +553,22 @@ impl FunctionBinding { impl_json!(FunctionBinding); -/// Stable terminal result of a remote Function-column refresh Job. +/// Stable terminal result of an expression-backed or Function-backed column +/// refresh [`crate::Job`]. +/// +/// Local refresh jobs produce this value in process. LanceDB Cloud and +/// Enterprise decode the same value from the durable job's terminal payload. #[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] pub struct RefreshColumnResult { + /// Rows assigned a value by this refresh. pub rows_assigned: u64, + /// Rows whose computation failed. pub rows_failed: u64, + /// Rows that still need a value when the job completes. pub rows_remaining: u64, + /// Exact table version the refresh read. pub source_version: u64, + /// Table version made visible by the refresh, when one was published. #[serde(default, skip_serializing_if = "Option::is_none")] pub published_version: Option, } @@ -604,3 +586,26 @@ impl RefreshColumnResult { } impl_json!(RefreshColumnResult); + +#[cfg(test)] +mod conda_environment_tests { + use super::PythonEnvironmentSpec; + + #[test] + fn conda_channels_round_trip_and_pip_stays_bare() { + let conda: PythonEnvironmentSpec = serde_json::from_str( + r#"{"kind":"conda","packages":["numpy"],"channels":["conda-forge"]}"#, + ) + .unwrap(); + assert_eq!(conda.channels, ["conda-forge"]); + assert!( + serde_json::to_string(&conda) + .unwrap() + .contains(r#""channels":["conda-forge"]"#) + ); + + let pip: PythonEnvironmentSpec = + serde_json::from_str(r#"{"kind":"pip","packages":["numpy"]}"#).unwrap(); + assert!(!serde_json::to_string(&pip).unwrap().contains("channels")); + } +} diff --git a/rust/lancedb/src/index/scalar.rs b/rust/lancedb/src/index/scalar.rs index 10d835bb1..dba05b776 100644 --- a/rust/lancedb/src/index/scalar.rs +++ b/rust/lancedb/src/index/scalar.rs @@ -63,4 +63,5 @@ pub struct FmIndexBuilder {} pub use lance_index::scalar::FullTextSearchQuery; pub use lance_index::scalar::InvertedIndexParams as FtsIndexBuilder; pub use lance_index::scalar::InvertedIndexParams; +pub use lance_index::scalar::inverted::DocumentGranularity; pub use lance_index::scalar::inverted::query::*; diff --git a/rust/lancedb/src/io/object_store.rs b/rust/lancedb/src/io/object_store.rs index d594bd857..c4a9a4f7e 100644 --- a/rust/lancedb/src/io/object_store.rs +++ b/rust/lancedb/src/io/object_store.rs @@ -10,7 +10,7 @@ use lance::io::WrappingObjectStore; use object_store::{ CopyOptions, Error, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore, ObjectStoreExt, PutMultipartOptions, PutOptions, PutPayload, PutResult, Result, - UploadPart, path::Path, + UploadPart, list::PaginatedListStore, path::Path, }; use async_trait::async_trait; @@ -187,6 +187,14 @@ impl WrappingObjectStore for MirroringObjectStoreWrapper { secondary: self.secondary.clone(), }) } + + fn wrap_paginated( + &self, + _store_prefix: &str, + original: Arc, + ) -> Option> { + Some(original) + } } // windows pathing can't be simply concatenated diff --git a/rust/lancedb/src/io/object_store/io_tracking.rs b/rust/lancedb/src/io/object_store/io_tracking.rs index bd4f8f54a..7f9750216 100644 --- a/rust/lancedb/src/io/object_store/io_tracking.rs +++ b/rust/lancedb/src/io/object_store/io_tracking.rs @@ -12,7 +12,7 @@ use lance::io::WrappingObjectStore; use object_store::{ CopyOptions, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore, PutMultipartOptions, PutOptions, PutPayload, PutResult, RenameOptions, Result as OSResult, - UploadPart, path::Path, + UploadPart, list::PaginatedListStore, path::Path, }; #[derive(Debug, Default)] @@ -57,6 +57,14 @@ impl WrappingObjectStore for IoStatsHolder { stats: self.0.clone(), }) } + + fn wrap_paginated( + &self, + _store_prefix: &str, + original: Arc, + ) -> Option> { + Some(original) + } } impl IoTrackingStore { diff --git a/rust/lancedb/src/job.rs b/rust/lancedb/src/job.rs index 1a76c7683..22f1a0450 100644 --- a/rust/lancedb/src/job.rs +++ b/rust/lancedb/src/job.rs @@ -6,7 +6,7 @@ use std::sync::Arc; use async_trait::async_trait; -use serde::de::DeserializeOwned; +use serde::{Serialize, de::DeserializeOwned}; use serde_json::Value; use tokio::sync::watch; use tokio::task::{AbortHandle, JoinHandle}; @@ -26,20 +26,16 @@ pub(crate) trait JobHandle: Send + Sync { } /// A backend-neutral successful terminal result. -/// -/// Local operations do not carry a value. Remote operations may carry JSON -/// that the public [`Job`] decodes according to its result type. +#[derive(Clone)] pub(crate) struct TerminalResult { - #[allow(dead_code)] // Typed remote submit endpoints consume this after Slice 1. value: Option, - #[allow(dead_code)] // Preserved so typed decode errors retain request correlation. request_id: Option, } impl TerminalResult { - pub(crate) fn local() -> Self { + fn local(value: Value) -> Self { Self { - value: None, + value: Some(value), request_id: None, } } @@ -51,23 +47,35 @@ impl TerminalResult { } } - #[allow(dead_code)] // Exercised by the remote typed-result fixtures in Slice 1. + pub(crate) fn value(&self) -> Option<&Value> { + self.value.as_ref() + } + fn decode(self) -> Result { - let request_id = self.request_id.unwrap_or_default(); - let value = self.value.ok_or_else(|| Error::Http { - source: "successful typed job response did not contain a result".into(), - request_id: request_id.clone(), - status_code: None, + let value = self.value.ok_or_else(|| match &self.request_id { + Some(request_id) => Error::Http { + source: "successful typed job response did not contain a result".into(), + request_id: request_id.clone(), + status_code: None, + }, + None => Error::Runtime { + message: "successful typed job did not contain a result".to_string(), + }, })?; - serde_json::from_value(value).map_err(|error| Error::Http { - source: format!("failed to parse typed job result: {error}").into(), - request_id, - status_code: None, + serde_json::from_value(value).map_err(|error| match self.request_id { + Some(request_id) => Error::Http { + source: format!("failed to parse typed job result: {error}").into(), + request_id, + status_code: None, + }, + None => Error::Runtime { + message: format!("failed to parse typed job result: {error}"), + }, }) } } -type ResultDecoder = fn(TerminalResult) -> Result; +type ResultDecoder = Arc Result + Send + Sync>; enum JobInner { Handle { @@ -79,7 +87,9 @@ enum JobInner { /// A handle to an operation that may still be running. /// -/// The operation may already be complete when the handle is created. +/// The operation may already be complete when the handle is created. `T` is +/// the endpoint's successful terminal result; unit-result operations use the +/// default `Job<()>`. pub struct Job where T: Clone + Send + Sync + 'static, @@ -111,15 +121,10 @@ impl Job<()> { Self { inner: JobInner::Handle { handle, - decode: |_| Ok(()), + decode: Arc::new(|_| Ok(())), }, } } - - /// A unit-result job running as a task in this process. - pub(crate) fn spawned(task: JoinHandle>) -> Self { - Self::new(Box::new(SpawnedJob::new(task))) - } } impl Job @@ -131,12 +136,22 @@ where Self { inner: JobInner::Handle { handle, - decode: TerminalResult::decode::, + decode: Arc::new(TerminalResult::decode::), }, } } } +impl Job +where + T: Clone + Serialize + DeserializeOwned + Send + Sync + 'static, +{ + /// A typed job running as a task in this process. + pub(crate) fn spawned(task: JoinHandle>) -> Self { + Self::new_typed(Box::new(SpawnedJob::new(task))) + } +} + impl Job where T: Clone + Send + Sync + 'static, @@ -169,11 +184,13 @@ where /// Waits until the operation reaches a terminal state. /// + /// Returns the endpoint's typed result. Unit-result jobs return `()`. + /// /// Returns [`crate::Error::JobFailed`] if the operation failed and /// [`crate::Error::JobCancelled`] if it was cancelled. pub async fn wait(&self) -> Result { match &self.inner { - JobInner::Handle { handle, decode } => decode(handle.wait().await?), + JobInner::Handle { handle, decode } => (decode)(handle.wait().await?), JobInner::Completed(result) => Ok(result.clone()), } } @@ -187,21 +204,53 @@ where JobInner::Completed(_) => Ok(()), } } + + /// Maps a successful terminal result without changing the job lifecycle. + /// The mapping may run once for each call to [`Job::wait`], so it should + /// be deterministic and free of externally visible side effects. + /// + /// ``` + /// use lancedb::{Job, function::RefreshColumnResult}; + /// + /// # async fn rows_assigned( + /// # job: Job, + /// # ) -> lancedb::Result { + /// let job = job.map(|result| result.rows_assigned); + /// job.wait().await + /// # } + /// ``` + pub fn map(self, map: F) -> Job + where + U: Clone + Send + Sync + 'static, + F: Fn(T) -> U + Send + Sync + 'static, + { + match self.inner { + JobInner::Handle { handle, decode } => Job { + inner: JobInner::Handle { + handle, + decode: Arc::new(move |result| Ok(map((decode)(result)?))), + }, + }, + JobInner::Completed(result) => Job { + inner: JobInner::Completed(map(result)), + }, + } + } } /// How an in-process operation ended. Cloneable so every waiter can be given /// the outcome; [`Error`] is not, so failures share one behind an [`Arc`]. #[derive(Clone)] enum Outcome { - Succeeded, + Succeeded(TerminalResult), Failed(Arc), Cancelled, } impl Outcome { - fn into_result(self) -> Result<()> { + fn into_result(self) -> Result { match self { - Self::Succeeded => Ok(()), + Self::Succeeded(result) => Ok(result), Self::Failed(source) => Err(Error::JobFailed { job_id: None, failure: JobFailure::from_source(source), @@ -220,12 +269,20 @@ struct SpawnedJob { } impl SpawnedJob { - fn new(task: JoinHandle>) -> Self { + fn new(task: JoinHandle>) -> Self + where + T: Serialize + Send + 'static, + { let abort = task.abort_handle(); let (tx, outcome) = watch::channel(None); tokio::spawn(async move { let outcome = match task.await { - Ok(Ok(())) => Outcome::Succeeded, + Ok(Ok(result)) => match serde_json::to_value(result) { + Ok(value) => Outcome::Succeeded(TerminalResult::local(value)), + Err(err) => Outcome::Failed(Arc::new(Error::Runtime { + message: format!("failed to serialize job result: {err}"), + })), + }, Ok(Err(err)) => Outcome::Failed(Arc::new(err)), Err(err) if err.is_cancelled() => Outcome::Cancelled, Err(err) => Outcome::Failed(Arc::new(Error::Runtime { @@ -243,7 +300,7 @@ impl JobHandle for SpawnedJob { async fn status(&self) -> Result { let label = match &*self.outcome.borrow() { None => "running", - Some(Outcome::Succeeded) => "finished", + Some(Outcome::Succeeded(_)) => "finished", Some(Outcome::Failed(_)) => "failed", Some(Outcome::Cancelled) => "cancelled", }; @@ -256,12 +313,11 @@ impl JobHandle for SpawnedJob { .wait_for(|outcome| outcome.is_some()) .await .map_err(|_| Error::Runtime { - message: "index job outcome was dropped before it completed".to_string(), + message: "job outcome was dropped before it completed".to_string(), })? .clone() .expect("wait_for returns once an outcome is set"); - settled.into_result()?; - Ok(TerminalResult::local()) + settled.into_result() } async fn cancel(&self) -> Result<()> { @@ -269,3 +325,29 @@ impl JobHandle for SpawnedJob { Ok(()) } } + +#[cfg(test)] +mod tests { + use std::future::pending; + + use super::*; + + #[tokio::test] + async fn mapped_spawned_job_reuses_outcome() { + let job = Job::spawned(tokio::spawn(async { Ok(41_u64) })).map(|value| value + 1); + + assert_eq!(job.wait().await.unwrap(), 42); + assert_eq!(job.wait().await.unwrap(), 42); + assert_eq!(job.status().await.unwrap(), "finished"); + } + + #[tokio::test] + async fn mapped_spawned_job_preserves_cancellation() { + let job = Job::spawned(tokio::spawn(async { pending::>().await })) + .map(|value| value.to_string()); + + job.cancel().await.unwrap(); + assert!(matches!(job.wait().await, Err(Error::JobCancelled { .. }))); + assert_eq!(job.status().await.unwrap(), "cancelled"); + } +} diff --git a/rust/lancedb/src/materialized_view.rs b/rust/lancedb/src/materialized_view.rs index 1d7cbb5e7..08d6c921e 100644 --- a/rust/lancedb/src/materialized_view.rs +++ b/rust/lancedb/src/materialized_view.rs @@ -37,6 +37,13 @@ pub use refresh::{RefreshMaterializedViewResult, RefreshMode}; /// Schema metadata key holding the view definition, as kind-tagged JSON. pub const DEFINITION_META_KEY: &str = "mv.definition"; +/// Schema metadata key holding the view's incarnation: a token minted at each +/// physical creation of a view table, so a view dropped and recreated under +/// the same name and definition is still told apart from the one a caller +/// captured. A view whose metadata was replaced wholesale, or one declared +/// before tokens existed, carries none until its next refresh mints one. +pub const INCARNATION_META_KEY: &str = "mv.incarnation"; + /// Schema metadata key holding the source table version the view was last /// refreshed to. Absent until the first refresh. pub const SOURCE_VERSION_META_KEY: &str = "mv.source_version"; @@ -163,6 +170,15 @@ pub(crate) fn plan( filter: Option<&str>, limit: Option, ) -> Result<(MaterializedViewDefinition, Vec, Lineage)> { + let filter = filter + .map(crate::expr::canonicalize_sql_predicate) + .transpose() + .map_err(|err| match err { + Error::InvalidInput { message } => Error::InvalidInput { + message: format!("invalid view filter: {message}"), + }, + err => err, + })?; let projections: Vec<(String, String)> = if projections.is_empty() { source_schema .fields() @@ -267,7 +283,7 @@ pub(crate) fn plan( declared.push(output); } - if let Some(filter) = filter { + if let Some(filter) = filter.as_deref() { let expr = planner .parse_filter(filter) .map_err(|e| Error::InvalidInput { @@ -307,7 +323,7 @@ pub(crate) fn plan( .into_iter() .map(|(output, expression)| ViewProjection { output, expression }) .collect(), - filter: filter.map(String::from), + filter, limit, inputs, }; @@ -612,8 +628,17 @@ impl PreparedDeclaration { pub async fn create(self, name: &str) -> Result { let empty: Vec> = vec![]; + // Minted here, not at preparation: a declaration can be cloned and + // create more than one physical table, and each needs its own token. + let incarnation = uuid::Uuid::new_v4().to_string(); + let mut metadata = self.schema.metadata().clone(); + metadata.insert(INCARNATION_META_KEY.to_string(), incarnation.clone()); + let schema = Arc::new(ArrowSchema::new_with_metadata( + self.schema.fields().clone(), + metadata, + )); let reader: Box = - Box::new(arrow_array::RecordBatchIterator::new(empty, self.schema)); + Box::new(arrow_array::RecordBatchIterator::new(empty, schema)); let mut request = CreateTableRequest::new(name.to_string(), Box::new(reader)); let write_params = request .write_options @@ -648,6 +673,7 @@ impl PreparedDeclaration { Ok(MaterializedView { table, definition: self.definition, + incarnation: Some(incarnation), }) } } @@ -878,6 +904,7 @@ impl CreateMaterializedViewBuilder { pub struct MaterializedView { table: Table, definition: MaterializedViewDefinition, + incarnation: Option, } impl MaterializedView { @@ -893,8 +920,13 @@ impl MaterializedView { }); } let schema = table.schema().await?; + let incarnation = schema.metadata().get(INCARNATION_META_KEY).cloned(); match materialized_view_kind(schema.metadata())? { - Some(MaterializedViewKind::Select(definition)) => Ok(Self { table, definition }), + Some(MaterializedViewKind::Select(definition)) => Ok(Self { + table, + definition, + incarnation, + }), Some(MaterializedViewKind::Unrecognized { kind }) => Err(Error::NotSupported { message: format!( "materialized view '{}' is defined by '{kind}', which this version of \ @@ -923,6 +955,13 @@ impl MaterializedView { &self.definition } + /// The view's incarnation token as of when this handle was opened; see + /// [`RefreshMaterializedViewBuilder::expect_incarnation`]. `None` for a + /// view that has none yet (see [`INCARNATION_META_KEY`]). + pub fn incarnation(&self) -> Option<&str> { + self.incarnation.as_deref() + } + /// Recompute the view from its source. /// /// By default the refresh is incremental when the source's changes can be @@ -943,6 +982,7 @@ impl MaterializedView { view: self.clone(), full: false, source_version: None, + expected_incarnation: None, } } } @@ -952,6 +992,7 @@ pub struct RefreshMaterializedViewBuilder { view: MaterializedView, full: bool, source_version: Option, + expected_incarnation: Option, } impl RefreshMaterializedViewBuilder { @@ -967,8 +1008,28 @@ impl RefreshMaterializedViewBuilder { self } + /// Refresh only if the view is still the incarnation that minted `token` + /// (see [`MaterializedView::incarnation`]): a refresh requested against + /// one declaration must not land in a view dropped and recreated since, + /// even under the same name and definition. + /// + /// Best effort. The token is read from the latest stored manifest before + /// planning and again immediately before every commit, but it is not part + /// of the commit's own condition, so a recreation that lands between that + /// final read and the commit is not caught. + pub fn expect_incarnation(mut self, token: impl Into) -> Self { + self.expected_incarnation = Some(token.into()); + self + } + pub async fn execute(self) -> Result { - refresh::execute_refresh(&self.view.table, self.full, self.source_version).await + refresh::execute_refresh( + &self.view.table, + self.full, + self.source_version, + self.expected_incarnation.as_deref(), + ) + .await } } diff --git a/rust/lancedb/src/materialized_view/refresh.rs b/rust/lancedb/src/materialized_view/refresh.rs index 24d828e01..b967e81f8 100644 --- a/rust/lancedb/src/materialized_view/refresh.rs +++ b/rust/lancedb/src/materialized_view/refresh.rs @@ -46,8 +46,9 @@ use lance_table::format::Fragment; use serde::{Deserialize, Serialize}; use super::{ - MaterializedViewDefinition, REFRESHED_AT_MS_META_KEY, SOURCE_ROW_ID_COLUMN, - SOURCE_VERSION_META_KEY, + DEFINITION_META_KEY, INCARNATION_META_KEY, MaterializedViewDefinition, + REFRESHED_AT_MS_META_KEY, SOURCE_ROW_ID_COLUMN, SOURCE_VERSION_META_KEY, + definition_to_metadata, }; use crate::database::OpenTableRequest; use crate::table::{NativeTable, NativeTableExt, Table}; @@ -108,6 +109,7 @@ pub(crate) async fn execute_refresh( view: &Table, full: bool, pinned: Option, + expected_incarnation: Option<&str>, ) -> Result { let view_native = view.as_native().ok_or_else(|| Error::NotSupported { message: "materialized views are supported only on local tables".into(), @@ -122,6 +124,8 @@ pub(crate) async fn execute_refresh( view_native.dataset.reload().await?; let view_ds = view_native.dataset.get().await?.as_ref().clone(); + ensure_incarnation(&view_ds, expected_incarnation, view.name()).await?; + // The definition a handle cached at open may since have been replaced; // what refresh executes and what it stamps must be one generation. let definition = match super::materialized_view_kind(&view_ds.schema().metadata)? { @@ -194,8 +198,28 @@ pub(crate) async fn execute_refresh( ), }); } + let definition_changed = + definition.filter != replanned.filter || definition.inputs != replanned.inputs; let definition = &replanned; + // A watermark written for a legacy raw filter certifies the rows that + // filter produced, not the canonical predicate above. Rebuild instead of + // accepting or advancing it, and persist the migrated definition in the + // same metadata commit that certifies the replacement rows. + if definition_changed { + return rebuild( + view_native, + &view_ds, + &source_ds, + source_version, + source_ts, + definition, + true, + expected_incarnation, + ) + .await; + } + let metadata = &view_ds.schema().metadata; let watermark: Option = metadata .get(SOURCE_VERSION_META_KEY) @@ -240,6 +264,7 @@ pub(crate) async fn execute_refresh( increment, definition, watermark, + expected_incarnation, ) .await?; match reconciled { @@ -253,6 +278,8 @@ pub(crate) async fn execute_refresh( source_version, source_ts, definition, + false, + expected_incarnation, ) .await } @@ -266,6 +293,8 @@ pub(crate) async fn execute_refresh( source_version, source_ts, definition, + false, + expected_incarnation, ) .await } @@ -595,6 +624,7 @@ async fn incremental( increment: Increment, definition: &MaterializedViewDefinition, watermark: Option, + expected_incarnation: Option<&str>, ) -> Result> { let new_fragments = increment.appended; let watermark_version = watermark.unwrap_or(0); @@ -671,15 +701,37 @@ async fn incremental( }; let nothing_to_add = (new_fragments.is_empty() && !updated_rows) || remaining == Some(0); if nothing_to_add && eviction.is_none() { - result.version = - stamp_watermark(view_native, view_ds.clone(), source_version, source_ts).await?; + result.version = stamp_watermark( + view_native, + view_ds.clone(), + source_version, + source_ts, + None, + expected_incarnation, + ) + .await?; return Ok(Some(result)); } // Rows left but none arrive: the removals still have to be published. if nothing_to_add { let filter = refresh_filter(&empty_keys(view_ds)?)?; - let published = publish(view_ds, eviction, Vec::new(), Some(filter)).await?; - result.version = stamp_watermark(view_native, published, source_version, source_ts).await?; + let published = publish( + view_ds, + eviction, + Vec::new(), + Some(filter), + expected_incarnation, + ) + .await?; + result.version = stamp_watermark( + view_native, + published, + source_version, + source_ts, + None, + expected_incarnation, + ) + .await?; return Ok(Some(result)); } @@ -737,12 +789,21 @@ async fn incremental( eviction, Vec::new(), Some(refresh_filter(&empty_keys(view_ds)?)?), + expected_incarnation, ) .await? } else { view_ds.clone() }; - result.version = stamp_watermark(view_native, published, source_version, source_ts).await?; + result.version = stamp_watermark( + view_native, + published, + source_version, + source_ts, + None, + expected_incarnation, + ) + .await?; return Ok(Some(result)); }; let stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new( @@ -775,12 +836,28 @@ async fn incremental( }); }; let filter = refresh_filter(&keys)?; - let appended = publish(view_ds, eviction, new_fragments, Some(filter)).await?; + let appended = publish( + view_ds, + eviction, + new_fragments, + Some(filter), + expected_incarnation, + ) + .await?; result.rows_written = rows_written.load(Ordering::Relaxed); - result.version = stamp_watermark(view_native, appended, source_version, source_ts).await?; + result.version = stamp_watermark( + view_native, + appended, + source_version, + source_ts, + None, + expected_incarnation, + ) + .await?; Ok(Some(result)) } +#[allow(clippy::too_many_arguments)] async fn rebuild( view_native: &NativeTable, view_ds: &Dataset, @@ -788,6 +865,8 @@ async fn rebuild( source_version: u64, source_ts: u128, definition: &MaterializedViewDefinition, + persist_definition: bool, + expected_incarnation: Option<&str>, ) -> Result { let rows_written = Arc::new(AtomicU64::new(0)); let schema = Arc::new(ArrowSchema::from(view_ds.schema())); @@ -810,8 +889,17 @@ async fn rebuild( // carries no schema metadata, so it cannot erase a definition update // that raced in the way an overwrite (which adopts its stream's schema) // durably would -- and it must land on the planned generation or abort. - let replaced = replace_retaining_indices(view_ds.clone(), stream, keys).await?; - let version = stamp_watermark(view_native, replaced, source_version, source_ts).await?; + let replaced = + replace_retaining_indices(view_ds.clone(), stream, keys, expected_incarnation).await?; + let version = stamp_watermark( + view_native, + replaced, + source_version, + source_ts, + persist_definition.then_some(definition), + expected_incarnation, + ) + .await?; Ok(RefreshMaterializedViewResult { mode: RefreshMode::Rebuild, rows_written: rows_written.load(Ordering::Relaxed), @@ -828,11 +916,13 @@ async fn replace_retaining_indices( view_ds: Dataset, stream: SendableRecordBatchStream, keys: Arc>, + expected_incarnation: Option<&str>, ) -> Result { let ds = Arc::new(view_ds); let read_version = ds.version().version; #[cfg(test)] tests::hold_before_publish(ds.uri()).await; + ensure_incarnation(&ds, expected_incarnation, ds.uri()).await?; let removed_fragment_ids: Vec = ds.get_fragments().iter().map(|f| f.id() as u64).collect(); let write_txn = InsertBuilder::new(WriteDestination::Dataset(ds.clone())) @@ -886,6 +976,32 @@ async fn replace_retaining_indices( } /// Record that the view now reflects `source_version`, including the view +/// Refuse to act on a view that is not `expected`'s incarnation, judged from +/// the latest stored manifest. Not a commit condition; see +/// `RefreshMaterializedViewBuilder::expect_incarnation`. +async fn ensure_incarnation(view_ds: &Dataset, expected: Option<&str>, what: &str) -> Result<()> { + let Some(expected) = expected else { + return Ok(()); + }; + let mut latest = view_ds.clone(); + latest.checkout_latest().await?; + match latest.schema().metadata.get(INCARNATION_META_KEY) { + Some(actual) if actual == expected => Ok(()), + Some(_) => Err(Error::Runtime { + message: format!( + "materialized view '{what}' is not the incarnation this refresh was \ + requested for: it was dropped and recreated" + ), + }), + None => Err(Error::Runtime { + message: format!( + "materialized view '{what}' carries no incarnation token: its schema \ + metadata was replaced since the token was captured" + ), + }), + } +} + /// version this very commit produces. The version is predicted and then /// verified; on a mismatch another commit raced in between, and the stamp /// ABORTS rather than certify that commit as the refresh's own generation. @@ -895,28 +1011,45 @@ async fn stamp_watermark( mut dataset: Dataset, source_version: u64, source_ts: u128, + definition: Option<&MaterializedViewDefinition>, + expected_incarnation: Option<&str>, ) -> Result { + ensure_incarnation(&dataset, expected_incarnation, dataset.uri()).await?; let predicted = dataset.version().version + 1; - dataset - .update_schema_metadata([ - ( - SOURCE_VERSION_META_KEY.to_string(), - Some(source_version.to_string()), - ), - ( - SOURCE_VERSION_TS_META_KEY.to_string(), - Some(source_ts.to_string()), - ), - ( - REFRESHED_AT_MS_META_KEY.to_string(), - Some(now_ms().to_string()), - ), - ( - VIEW_VERSION_META_KEY.to_string(), - Some(predicted.to_string()), - ), - ]) - .await?; + // A view with no token (declared before tokens existed, or its metadata + // replaced wholesale) starts a new incarnation here. + let incarnation = dataset + .schema() + .metadata + .get(INCARNATION_META_KEY) + .cloned() + .unwrap_or_else(|| uuid::Uuid::new_v4().to_string()); + let mut metadata = vec![(INCARNATION_META_KEY.to_string(), Some(incarnation))]; + if let Some(definition) = definition { + metadata.push(( + DEFINITION_META_KEY.to_string(), + Some(definition_to_metadata(definition)?), + )); + } + metadata.extend([ + ( + SOURCE_VERSION_META_KEY.to_string(), + Some(source_version.to_string()), + ), + ( + SOURCE_VERSION_TS_META_KEY.to_string(), + Some(source_ts.to_string()), + ), + ( + REFRESHED_AT_MS_META_KEY.to_string(), + Some(now_ms().to_string()), + ), + ( + VIEW_VERSION_META_KEY.to_string(), + Some(predicted.to_string()), + ), + ]); + dataset.update_schema_metadata(metadata).await?; let actual = dataset.version().version; if actual != predicted { return Err(Error::Runtime { @@ -1052,12 +1185,14 @@ async fn publish( eviction: Option<(Vec, Vec)>, new_fragments: Vec, keys: Option, + expected_incarnation: Option<&str>, ) -> Result { let planned = view_ds.version().version; #[cfg(test)] tests::hold_before_publish(view_ds.uri()).await; #[cfg(test)] tests::hold_until_peers_planned(); + ensure_incarnation(view_ds, expected_incarnation, view_ds.uri()).await?; let (updated_fragments, removed_fragment_ids) = eviction.unwrap_or_default(); let committed = CommitBuilder::new(WriteDestination::Dataset(Arc::new(view_ds.clone()))) .execute(Transaction::new( @@ -1486,6 +1621,106 @@ mod tests { assert_eq!(read(view.table(), "x").await, vec![20, 40]); } + #[tokio::test] + async fn test_mixed_case_filter_is_canonicalized_for_lineage_and_refresh() { + let conn = connect("memory://").execute().await.unwrap(); + let batch = record_batch!( + ("id", Int32, [1, 2, 3]), + ("PartyAbbrev", Utf8, ["D", "R", "D"]) + ) + .unwrap(); + conn.create_table("src", batch) + .write_options(crate::materialized_view::tests::stable_row_ids()) + .execute() + .await + .unwrap(); + conn.create_materialized_view("democrats", "src") + .select([("id", "id")]) + .only_if(r#""PartyAbbrev" = 'D'"#) + .execute() + .await + .unwrap(); + + // Reopen from schema metadata so these assertions cover the stored + // predicate and lineage, not only the declaration-time handle. + let view = conn.open_materialized_view("democrats").await.unwrap(); + assert_eq!( + view.definition().filter.as_deref(), + Some("`PartyAbbrev` = 'D'") + ); + assert_eq!(view.definition().inputs, ["PartyAbbrev", "id"]); + + let result = view.refresh().execute().await.unwrap(); + assert_eq!(result.rows_written, 2); + assert_eq!(read(view.table(), "id").await, vec![1, 3]); + } + + #[tokio::test] + async fn test_legacy_raw_filter_rebuilds_and_persists_canonical_definition() { + let conn = connect("memory://").execute().await.unwrap(); + let batch = record_batch!( + ("id", Int32, [1, 2, 3]), + ("PartyAbbrev", Utf8, ["D", "R", "D"]) + ) + .unwrap(); + conn.create_table("legacy_src", batch) + .write_options(crate::materialized_view::tests::stable_row_ids()) + .execute() + .await + .unwrap(); + let view = conn + .create_materialized_view("legacy_view", "legacy_src") + .select([("id", "id")]) + .only_if(r#""PartyAbbrev" = 'X'"#) + .execute() + .await + .unwrap(); + assert_eq!(view.refresh().execute().await.unwrap().rows_written, 0); + + // Model a definition and up-to-date watermark written before filter + // canonicalization was applied to materialized views. + let mut legacy = view.definition().clone(); + legacy.filter = Some(r#""PartyAbbrev" = 'D'"#.into()); + legacy.inputs = vec!["id".into()]; + let native = view.table().as_native().unwrap(); + let mut dataset = native.dataset.get().await.unwrap().as_ref().clone(); + let predicted = dataset.version().version + 1; + dataset + .update_schema_metadata([ + ( + DEFINITION_META_KEY.to_string(), + Some(definition_to_metadata(&legacy).unwrap()), + ), + ( + VIEW_VERSION_META_KEY.to_string(), + Some(predicted.to_string()), + ), + ]) + .await + .unwrap(); + native.dataset.update(dataset); + + let reopened = conn.open_materialized_view("legacy_view").await.unwrap(); + let result = reopened.refresh().execute().await.unwrap(); + assert_eq!(result.mode, RefreshMode::Rebuild); + assert_eq!(result.rows_written, 2); + assert_eq!(read(reopened.table(), "id").await, vec![1, 3]); + + // A fresh handle proves the migration was stored alongside the new + // watermark and therefore happens only once. + let migrated = conn.open_materialized_view("legacy_view").await.unwrap(); + assert_eq!( + migrated.definition().filter.as_deref(), + Some("`PartyAbbrev` = 'D'") + ); + assert_eq!(migrated.definition().inputs, ["PartyAbbrev", "id"]); + assert_eq!( + migrated.refresh().execute().await.unwrap().mode, + RefreshMode::NoOp + ); + assert_eq!(read(migrated.table(), "id").await, vec![1, 3]); + } + #[tokio::test] async fn test_append_refreshes_incrementally() { let (_conn, source, view) = refreshed_doubled(vec![1, 2]).await; @@ -1830,7 +2065,9 @@ mod tests { ); let staged = eviction.finish().await.unwrap(); assert!(staged.is_some(), "four ids over a chunk of two stage twice"); - publish(&view_ds, staged, Vec::new(), None).await.unwrap(); + publish(&view_ds, staged, Vec::new(), None, None) + .await + .unwrap(); native.dataset.reload().await.unwrap(); assert_eq!(read(view.table(), "x").await, vec![5, 6]); @@ -2486,6 +2723,144 @@ mod tests { assert_eq!(read(view.table(), "twice").await, vec![14]); } + /// A refresh bound to an incarnation refuses a view dropped and recreated + /// since, even under the same name and definition; the recreated view's + /// own token is accepted, and the token survives a refresh's stamp. + #[tokio::test] + async fn test_refresh_refuses_a_recreated_view_incarnation() { + let (conn, _, view) = refreshed_doubled(vec![1]).await; + let token = view.incarnation().unwrap().to_string(); + view.refresh() + .expect_incarnation(&token) + .execute() + .await + .unwrap(); + let reopened = conn.open_materialized_view("doubled").await.unwrap(); + assert_eq!(reopened.incarnation(), Some(token.as_str())); + + conn.drop_table("doubled", &[]).await.unwrap(); + let recreated = doubled_view(&conn).await; + assert_ne!(recreated.incarnation(), Some(token.as_str())); + + let err = recreated + .refresh() + .expect_incarnation(&token) + .execute() + .await + .unwrap_err(); + assert!(err.to_string().contains("dropped and recreated"), "{err}"); + assert_eq!(read(recreated.table(), "twice").await, Vec::::new()); + + recreated + .refresh() + .expect_incarnation(recreated.incarnation().unwrap()) + .execute() + .await + .unwrap(); + assert_eq!(read(recreated.table(), "twice").await, vec![2]); + } + + /// A cloned declaration creates two physical tables; each gets its own + /// token. + #[tokio::test] + async fn test_cloned_declaration_mints_a_fresh_incarnation_per_create() { + let (conn, source) = db_with_source(vec![1]).await; + let prepared = crate::materialized_view::prepare_declaration( + &source, + &[("x".into(), "x".into()), ("twice".into(), "x * 2".into())], + None, + None, + ) + .await + .unwrap(); + let replacement = prepared.clone(); + let first = prepared.create("cloned").await.unwrap(); + let first_token = first.incarnation().unwrap().to_string(); + + conn.drop_table("cloned", &[]).await.unwrap(); + let second = replacement.create("cloned").await.unwrap(); + assert_ne!(second.incarnation(), Some(first_token.as_str())); + } + + /// A recreation that lands after planning but before publication is + /// caught by the pre-commit read: the stale refresh fails and the + /// replacement stays empty under its own token. + #[tokio::test(flavor = "multi_thread")] + async fn test_bound_refresh_cannot_publish_into_a_raced_recreation() { + let _serial = DRIFT_LOCK.lock().await; + let (conn, _) = db_with_source(vec![1]).await; + let view = doubled_view(&conn).await; + let token = view.incarnation().unwrap().to_string(); + let uri = view + .table() + .as_native() + .unwrap() + .dataset + .get() + .await + .unwrap() + .uri() + .to_string(); + + *DRIFT_TARGET.lock().unwrap() = Some(uri); + let refreshing = + tokio::spawn(async move { view.refresh().expect_incarnation(token).execute().await }); + tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) + .await + .expect("refresh never reached publication"); + + conn.drop_table("doubled", &[]).await.unwrap(); + let replacement = doubled_view(&conn).await; + let replacement_token = replacement.incarnation().unwrap().to_string(); + DRIFT_RELEASED.notify_one(); + + let result = refreshing.await.unwrap(); + assert!(result.is_err(), "the stale refresh unexpectedly succeeded"); + let reopened = conn.open_materialized_view("doubled").await.unwrap(); + assert_eq!(reopened.incarnation(), Some(replacement_token.as_str())); + assert_eq!(read(reopened.table(), "twice").await, Vec::::new()); + } + + /// Replacing the schema metadata wholesale drops the token. A refresh + /// bound to the old token is refused for that reason, not as a + /// recreation; an unbound refresh mints the view a fresh one. + #[tokio::test] + async fn test_a_view_whose_metadata_was_replaced_starts_a_new_incarnation() { + let (conn, _, view) = refreshed_doubled(vec![1]).await; + let token = view.incarnation().unwrap().to_string(); + let mut metadata = HashMap::new(); + metadata.insert( + crate::materialized_view::DEFINITION_META_KEY.to_string(), + crate::materialized_view::definition_to_metadata(view.definition()).unwrap(), + ); + view.table() + .as_native() + .unwrap() + .replace_schema_metadata(metadata) + .await + .unwrap(); + assert_eq!( + conn.open_materialized_view("doubled") + .await + .unwrap() + .incarnation(), + None + ); + + let err = view + .refresh() + .expect_incarnation(&token) + .execute() + .await + .unwrap_err(); + assert!(err.to_string().contains("no incarnation token"), "{err}"); + + view.refresh().execute().await.unwrap(); + let reopened = conn.open_materialized_view("doubled").await.unwrap(); + assert!(reopened.incarnation().is_some()); + assert_ne!(reopened.incarnation(), Some(token.as_str())); + } + /// In-process refreshes of one view serialize: the loser of the race /// observes the winner's watermark instead of appending the same rows. #[tokio::test(flavor = "multi_thread")] @@ -2528,7 +2903,7 @@ mod tests { let stale = view_native.dataset.get().await.unwrap().as_ref().clone(); view.table().delete("x = 1").await.unwrap(); - let err = stamp_watermark(view_native, stale, 99, 99).await; + let err = stamp_watermark(view_native, stale, 99, 99, None, None).await; assert!(err.is_err()); let result = view.refresh().execute().await.unwrap(); diff --git a/rust/lancedb/src/query.rs b/rust/lancedb/src/query.rs index b2c5fefbe..cd346f42e 100644 --- a/rust/lancedb/src/query.rs +++ b/rust/lancedb/src/query.rs @@ -399,6 +399,9 @@ pub trait QueryBase { /// x > 5 OR y = 'test' /// ``` /// + /// Identifiers may be delimited with SQL-standard double quotes or + /// backticks. String literals must use single quotes. + /// /// Filtering performance can often be improved by creating a scalar index /// on the filter column(s). /// @@ -913,6 +916,17 @@ impl QueryRequest { /// use different representations) the error is recorded and surfaced later /// by [`Self::check_filter`]. pub(crate) fn add_filter(&mut self, new: QueryFilter) { + let new = match new { + QueryFilter::Sql(filter) => match crate::expr::canonicalize_sql_predicate(&filter) { + Ok(filter) => QueryFilter::Sql(filter), + Err(err) => { + self.filter_error = Some(err.to_string()); + return; + } + }, + other => other, + }; + self.filter = Some(match self.filter.take() { None => new, Some(existing) => match and_filters(existing, new) { @@ -1174,12 +1188,12 @@ impl VectorQuery { /// Add another query vector to the search. /// - /// Multiple searches will be dispatched as part of the query. - /// This is a convenience method for adding multiple query vectors - /// to the search. It is not expected to be faster than issuing - /// multiple queries concurrently. + /// Multiple searches will be dispatched as a batch. Flat searches share + /// one table scan across the query vectors, avoiding the scan and memory + /// amplification of issuing the searches concurrently. Indexed searches + /// may still perform per-vector index work. /// - /// The output data will contain an additional columns `query_index` which + /// The output data will contain an additional column `query_index` which /// will contain the index of the query vector that was used to generate the /// result. pub fn add_query_vector(mut self, vector: impl IntoQueryVector) -> Result { @@ -1646,10 +1660,14 @@ mod tests { use std::{collections::HashSet, sync::Arc}; use super::*; - use arrow::{array::downcast_array, compute::concat_batches, datatypes::Int32Type}; + use arrow::{ + array::downcast_array, + compute::concat_batches, + datatypes::{Int32Type, UInt8Type}, + }; use arrow_array::{ - FixedSizeListArray, Float32Array, Int32Array, RecordBatch, StringArray, cast::AsArray, - types::Float32Type, + FixedSizeListArray, Float32Array, Int32Array, RecordBatch, RecordBatchIterator, + StringArray, cast::AsArray, types::Float32Type, }; use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema}; use futures::{StreamExt, TryStreamExt}; @@ -1774,11 +1792,14 @@ mod tests { .postfilter(); let result = query.execute().await; let mut stream = result.expect("should have result"); - // should only have one batch + let mut num_rows = 0; while let Some(batch) = stream.next().await { - // post filter should have removed some rows - assert!(batch.expect("should be Ok").num_rows() < 10); + let batch = batch.expect("should be Ok"); + let ids: &Int32Array = batch["id"].as_primitive(); + assert!(ids.iter().all(|id| id.unwrap() % 2 == 0)); + num_rows += batch.num_rows(); } + assert!(num_rows <= 10); let query = table .query() @@ -1875,6 +1896,157 @@ mod tests { query.execute().await.unwrap(); } + #[tokio::test] + async fn test_double_quoted_predicates_across_table_operations() { + let tmp_dir = tempdir().unwrap(); + let dataset_path = tmp_dir.path().join("test.lance"); + let uri = dataset_path.to_str().unwrap(); + let schema = Arc::new(ArrowSchema::new(vec![ + ArrowField::new("id", DataType::Int32, false), + ArrowField::new("PartyAbbrev", DataType::Utf8, false), + ArrowField::new("path", DataType::Utf8, false), + ])); + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![1, 2, 3, 4])), + Arc::new(StringArray::from(vec!["D", "R", "R", "D"])), + Arc::new(StringArray::from(vec!["\\", "\\", "x", "x"])), + ], + ) + .unwrap(); + + let conn = connect(uri).execute().await.unwrap(); + let table = conn.create_table("parties", batch).execute().await.unwrap(); + let batches = table + .query() + .only_if(r#""PartyAbbrev" = 'D'"#) + .execute() + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + + assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::(), 2); + assert_eq!( + table + .count_rows(Some(r#""PartyAbbrev" = 'D'"#.to_string())) + .await + .unwrap(), + 2 + ); + + // Public BaseTable dispatch cannot bypass canonicalization. + let query = AnyQuery::Query(QueryRequest { + filter: Some(QueryFilter::Sql(r#""PartyAbbrev" = 'D'"#.to_string())), + ..Default::default() + }); + let batches = table + .base_table() + .query(&query, Default::default()) + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::(), 2); + assert_eq!( + table + .base_table() + .count_rows(Some(crate::table::Filter::Sql( + r#""PartyAbbrev" = 'D'"#.to_string(), + ))) + .await + .unwrap(), + 2 + ); + + for predicate in [ + r#"id = 1 -- unmatched " in a valid SQL comment"#, + r#"id = 1 /* unmatched " in a valid SQL comment */"#, + r#"id = 1 /*! OR "PartyAbbrev" = 'D' */"#, + r#"path = '\' AND "PartyAbbrev" = 'D'"#, + ] { + let batches = table + .query() + .only_if(predicate) + .execute() + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::(), 1); + } + + // The same canonical predicate contract applies to both merge filters. + let source = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![1, 2, 3])), + Arc::new(StringArray::from(vec!["D", "R", "R"])), + Arc::new(StringArray::from(vec!["\\", "\\", "x"])), + ], + ) + .unwrap(); + let mut merge = table.merge_insert(&["id"]); + merge.when_not_matched_by_source_delete(Some(r#""PartyAbbrev" = 'D'"#.to_string())); + let result = table + .base_table() + .merge_insert( + merge, + Box::new(RecordBatchIterator::new(vec![Ok(source)], schema.clone())), + ) + .await + .unwrap(); + assert_eq!(result.num_deleted_rows, 1); + + let source = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![1, 2, 3])), + Arc::new(StringArray::from(vec!["U", "U", "U"])), + Arc::new(StringArray::from(vec!["\\", "\\", "x"])), + ], + ) + .unwrap(); + let mut merge = table.merge_insert(&["id"]); + merge.when_matched_update_all(Some(r#"target."PartyAbbrev" = 'D'"#.to_string())); + merge + .execute(Box::new(RecordBatchIterator::new(vec![Ok(source)], schema))) + .await + .unwrap(); + assert_eq!( + table + .count_rows(Some(r#""PartyAbbrev" = 'U'"#.to_string())) + .await + .unwrap(), + 1 + ); + + let update = table + .update() + .only_if(r#""PartyAbbrev" = 'R'"#) + .column("PartyAbbrev", "'X'"); + table.base_table().update(update).await.unwrap(); + assert_eq!( + table + .count_rows(Some(r#""PartyAbbrev" = 'X'"#.to_string())) + .await + .unwrap(), + 2 + ); + + let result = table + .base_table() + .delete(crate::table::Predicate::String(r#""PartyAbbrev" = 'X'"#)) + .await + .unwrap(); + assert_eq!(result.num_deleted_rows, 2); + assert_eq!(table.count_rows(None).await.unwrap(), 1); + } + #[tokio::test] async fn test_select_with_transform() { let batches = make_non_empty_batches(); @@ -2331,7 +2503,8 @@ mod tests { .limit(1); let plan = query.explain_plan(true).await.unwrap(); - assert!(plan.contains("UnionExec")); + assert!(plan.contains("KNNVectorDistance: queries=2")); + assert!(!plan.contains("UnionExec")); let results = query .execute() @@ -2346,6 +2519,100 @@ mod tests { // We don't guarantee order. assert!(query_index.values().contains(&0)); assert!(query_index.values().contains(&1)); + + // Batch KNN does not support a per-query offset, so offset queries keep + // the legacy per-vector plan to preserve their result semantics. + let offset_query = table + .query() + .nearest_to(&[0.1, 0.2, 0.3, 0.4]) + .unwrap() + .add_query_vector(&[0.5, 0.6, 0.7, 0.8]) + .unwrap() + .limit(1) + .offset(1); + assert!( + offset_query + .explain_plan(true) + .await + .unwrap() + .contains("UnionExec") + ); + let offset_results = offset_query + .execute() + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + assert_eq!( + offset_results + .iter() + .map(RecordBatch::num_rows) + .sum::(), + 2 + ); + } + + #[tokio::test] + async fn test_multiple_binary_query_vectors() { + let vectors = FixedSizeListArray::from_iter_primitive::( + vec![ + Some(vec![Some(0), Some(0)]), + Some(vec![Some(255), Some(255)]), + ], + 2, + ); + let schema = Arc::new(ArrowSchema::new(vec![ + ArrowField::new("id", DataType::Int32, false), + ArrowField::new("vector", vectors.data_type().clone(), false), + ])); + let batch = RecordBatch::try_new( + schema, + vec![Arc::new(Int32Array::from(vec![0, 1])), Arc::new(vectors)], + ) + .unwrap(); + + let conn = connect("memory://").execute().await.unwrap(); + let table = conn + .create_table("binary_batch", batch) + .execute() + .await + .unwrap(); + let query = table + .query() + .nearest_to(&[0.0, 0.0]) + .unwrap() + .add_query_vector(&[255.0, 255.0]) + .unwrap() + .distance_type(DistanceType::Hamming) + .limit(1); + + // Binary queries retain the per-vector plan because Lance's binary + // nearest path requires primitive UInt8 query arrays. + assert!( + query + .explain_plan(true) + .await + .unwrap() + .contains("UnionExec") + ); + + let results = query + .execute() + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + let results = concat_batches(&results[0].schema(), &results).unwrap(); + assert_eq!(results.num_rows(), 2); + + let ids = results["id"].as_primitive::(); + assert!(ids.values().contains(&0)); + assert!(ids.values().contains(&1)); + let query_index = results["query_index"].as_primitive::(); + assert!(query_index.values().contains(&0)); + assert!(query_index.values().contains(&1)); } #[tokio::test] diff --git a/rust/lancedb/src/remote/db.rs b/rust/lancedb/src/remote/db.rs index 169d0fda5..da9a4b09b 100644 --- a/rust/lancedb/src/remote/db.rs +++ b/rust/lancedb/src/remote/db.rs @@ -87,6 +87,10 @@ impl ServerVersion { pub fn support_blobs(&self) -> bool { self.0 >= semver::Version::new(0, 5, 0) } + + pub fn support_fts_document_granularity(&self) -> bool { + self.0 >= semver::Version::new(0, 6, 0) + } } pub const OPT_REMOTE_PREFIX: &str = "remote_database_"; @@ -344,6 +348,62 @@ impl RemoteDatabase { self.table_cache.remove(&cache_key).await; Ok((request_id, resp)) } + + /// Collect the tables of a namespace in name order, for `table_names`. + /// + /// `table_names` promises name order and resumes after a table name, but the namespace + /// route's `page_token` is opaque -- it belongs to the store the listing walks, and a + /// token this client invented would resume from the wrong place. So the whole namespace is + /// walked by handing each response's token straight back, and the name semantics are + /// applied here. Constructing no token is what makes this work against a server on either + /// side of the change: it only ever repeats what the server said. + /// + /// This is the cost `table_names` already paid -- the server used to enumerate and sort the + /// namespace on every request -- and it is why `list_tables` replaces it. + async fn table_names_in_namespace( + &self, + request: &TableNamesRequest, + ) -> Result<(Vec, ServerVersion)> { + let namespace_id = + build_namespace_identifier(&request.namespace_path, &self.client.id_delimiter); + let path = format!("/v1/namespace/{}/table/list", namespace_id); + + let mut names = Vec::new(); + // Every page reports the same server, so keep the first page's version. + let mut version: Option = None; + let mut page_token: Option = None; + loop { + let mut req = self.client.get(&path); + if let Some(ref token) = page_token { + req = req.query(&[("page_token", token)]); + } + let (request_id, rsp) = self.client.send_with_retry(req, None, true).await?; + let rsp = self.client.check_response(&request_id, rsp).await?; + if version.is_none() { + version = Some(parse_server_version(&request_id, &rsp)?); + } + let response: ListTablesResponse = rsp.json().await.err_to_http(request_id)?; + names.extend(response.tables); + // An empty token is the end of the listing, not a token to send back: a server + // that reads an empty token as "start from the beginning" would hand back the + // first page again. + match response.page_token.filter(|token| !token.is_empty()) { + // A server that repeated a token would never finish; treat that as the end + // rather than looping on it. + Some(token) if Some(&token) != page_token.as_ref() => page_token = Some(token), + _ => break, + } + } + + names.sort(); + if let Some(ref start_after) = request.start_after { + names.retain(|name| name > start_after); + } + if let Some(limit) = request.limit { + names.truncate(limit as usize); + } + Ok((names, version.unwrap_or_default())) + } } #[cfg(all(test, feature = "remote"))] @@ -513,7 +573,7 @@ impl Database for RemoteDatabase { async fn get_function(&self, name: &str, version: &str) -> Result { let req = self .client - .post("/v1/functions/get") + .post("/v1/functions/describe") .json(&serde_json::json!({ "name": name, "version": version, @@ -621,29 +681,29 @@ impl Database for RemoteDatabase { } async fn table_names(&self, request: TableNamesRequest) -> Result> { - let mut req = if !request.namespace_path.is_empty() { - let namespace_id = - build_namespace_identifier(&request.namespace_path, &self.client.id_delimiter); - self.client - .get(&format!("/v1/namespace/{}/table/list", namespace_id)) + let (tables, version) = if request.namespace_path.is_empty() { + // The flat route resumes after a table name and orders by name, which is exactly + // what `start_after` means, so the server does the paging. + let mut req = self.client.get("/v1/table/"); + if let Some(limit) = request.limit { + req = req.query(&[("limit", limit)]); + } + if let Some(ref start_after) = request.start_after { + req = req.query(&[("page_token", start_after)]); + } + let (request_id, rsp) = self.client.send_with_retry(req, None, true).await?; + let rsp = self.client.check_response(&request_id, rsp).await?; + let version = parse_server_version(&request_id, &rsp)?; + let tables = rsp + .json::() + .await + .err_to_http(request_id)? + .tables; + (tables, version) } else { - self.client.get("/v1/table/") + self.table_names_in_namespace(&request).await? }; - if let Some(limit) = request.limit { - req = req.query(&[("limit", limit)]); - } - if let Some(start_after) = request.start_after { - req = req.query(&[("page_token", start_after)]); - } - let (request_id, rsp) = self.client.send_with_retry(req, None, true).await?; - let rsp = self.client.check_response(&request_id, rsp).await?; - let version = parse_server_version(&request_id, &rsp)?; - let tables = rsp - .json::() - .await - .err_to_http(request_id)? - .tables; for table in &tables { let table_identifier = build_table_identifier(table, &request.namespace_path, &self.client.id_delimiter); @@ -1227,6 +1287,101 @@ mod tests { assert_eq!(names, vec!["table1", "table2"]); } + #[tokio::test] + async fn test_table_names_in_a_namespace_never_invents_a_page_token() { + // The namespace route's token belongs to the store, so `table_names` cannot build one + // from `start_after`. It walks the namespace on the server's own tokens and applies the + // name semantics itself, which is what keeps it working either side of the change. + let page = Arc::new(AtomicUsize::new(0)); + let conn = Connection::new_with_handler(move |request| { + assert_eq!(request.url().path(), "/v1/namespace/ns/table/list"); + let query = request.url().query().unwrap_or(""); + assert!( + !query.contains("page_token=users"), + "a table name must never be sent as a page token: {query}" + ); + match page.fetch_add(1, Ordering::SeqCst) { + 0 => { + assert!( + !query.contains("page_token"), + "the walk starts with no token" + ); + http::Response::builder() + .status(200) + .body(r#"{"tables": ["users", "orders"], "page_token": "opaque-1"}"#) + .unwrap() + } + _ => { + assert!(query.contains("page_token=opaque-1")); + http::Response::builder() + .status(200) + .body(r#"{"tables": ["widgets"]}"#) + .unwrap() + } + } + }); + + let names = conn + .table_names() + .namespace(vec!["ns".to_string()]) + .start_after("users") + .execute() + .await + .unwrap(); + // Name order, resumed after "users": "orders" sorts before it and is dropped. + assert_eq!(names, vec!["widgets"]); + } + + #[tokio::test] + async fn test_table_names_in_a_namespace_stops_on_a_repeated_token() { + // A server that handed back the token it was given would never finish the walk. + let conn = Connection::new_with_handler(|_request| { + http::Response::builder() + .status(200) + .body(r#"{"tables": ["a"], "page_token": "same"}"#) + .unwrap() + }); + + let names = conn + .table_names() + .namespace(vec!["ns".to_string()]) + .execute() + .await + .unwrap(); + // The guard bounds the walk instead of letting it run forever. The repeat is the + // server breaking the token contract and is not papered over here. + assert_eq!(names, vec!["a", "a"]); + } + + #[tokio::test] + async fn test_table_names_in_a_namespace_stops_on_an_empty_token() { + // An empty token ends the listing. Sending it back would ask a server that reads it + // as "start from the beginning" for the first page a second time, and every name on + // that page would be collected twice. + let requests = Arc::new(AtomicUsize::new(0)); + let seen = requests.clone(); + let conn = Connection::new_with_handler(move |request| { + seen.fetch_add(1, Ordering::SeqCst); + assert!( + !request.url().query().unwrap_or("").contains("page_token"), + "an empty token must never be sent back" + ); + http::Response::builder() + .status(200) + .body(r#"{"tables": ["a"], "page_token": ""}"#) + .unwrap() + }); + + let names = conn + .table_names() + .namespace(vec!["ns".to_string()]) + .execute() + .await + .unwrap(); + assert_eq!(names, vec!["a"]); + assert_eq!(requests.load(Ordering::SeqCst), 1); + } + #[tokio::test] async fn test_table_names_pagination() { let conn = Connection::new_with_handler(|request| { @@ -2520,7 +2675,7 @@ mod tests { ); let conn = Connection::new_with_handler(|request| { assert_eq!(request.method(), &reqwest::Method::POST); - assert_eq!(request.url().path(), "/v1/functions/get"); + assert_eq!(request.url().path(), "/v1/functions/describe"); let body: serde_json::Value = serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap(); assert_eq!( diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index fb7278db9..1afc2615a 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -14,6 +14,7 @@ use crate::data::scannable::{PeekedScannable, Scannable, estimate_write_partitio use crate::expr::expr_to_sql_string; use crate::index::Index; use crate::index::IndexStatistics; +use crate::index::scalar::FtsQuery; use crate::index::waiter::wait_for_index; use crate::job::Job; use crate::query::{QueryFilter, QueryRequest, Select, VectorQueryRequest}; @@ -39,7 +40,8 @@ use crate::table::{ use crate::table::{AnyQuery, Filter, Predicate, PreprocessingOutput, TableStatistics}; use crate::utils::background_cache::BackgroundCache; use crate::utils::{ - resolve_arrow_field_path, supported_btree_data_type, supported_vector_data_type, + resolve_arrow_field_path, resolve_arrow_fts_field_path, supported_btree_data_type, + supported_vector_data_type, }; use crate::{DistanceType, Error}; use crate::{ @@ -86,22 +88,57 @@ const METRIC_TYPE_KEY: &str = "metric_type"; const INDEX_TYPE_KEY: &str = "index_type"; const SCHEMA_CACHE_TTL: Duration = Duration::from_secs(30); const SCHEMA_CACHE_REFRESH_WINDOW: Duration = Duration::from_secs(5); +const SCHEMA_SELECTOR_CHANGED: &str = "table selector changed while fetching schema"; + +fn fts_query_requires_document_granularity_support(query: &FtsQuery) -> bool { + match query { + FtsQuery::Match(query) => query + .document_granularity + .is_some_and(|granularity| granularity.is_list_element()), + FtsQuery::Phrase(query) => query + .document_granularity + .is_some_and(|granularity| granularity.is_list_element()), + FtsQuery::Boost(query) => { + fts_query_requires_document_granularity_support(&query.positive) + || fts_query_requires_document_granularity_support(&query.negative) + } + FtsQuery::MultiMatch(query) => query.match_queries.iter().any(|query| { + query + .document_granularity + .is_some_and(|granularity| granularity.is_list_element()) + }), + FtsQuery::Boolean(query) => query + .must + .iter() + .chain(&query.should) + .chain(&query.must_not) + .any(fts_query_requires_document_granularity_support), + } +} /// Per-table state driving the freshness headers (`x-lancedb-min-version`, -/// `x-lancedb-min-timestamp`, and `x-lancedb-min-read-version`) sent on read +/// `x-lancedb-min-timestamp`, and `x-lancedb-min-read-version`) sent on table /// requests. #[derive(Debug, Default, Clone, Copy)] struct FreshnessState { + /// Identifies the handle timeline that produced this state. Explicit + /// checkout operations advance the generation so responses from older + /// in-flight requests cannot repopulate the new timeline's constraints. + generation: u64, + /// Exact-version, tag, and snapshot handles must not carry latest-timeline + /// constraints. Their request body already selects the precise version. + pinned: bool, /// Provides read-your-write within a single handle: writes that return a /// version update this, and reads send it as `x-lancedb-min-version`. min_version: Option, - /// Highest dataset version observed in a *read* response on this handle. - /// Reads send it as `x-lancedb-min-read-version` so a load-balanced query + /// Highest committed dataset version advertised by a successful table + /// response on this handle. Later requests send it as + /// `x-lancedb-min-read-version` so a load-balanced query /// node whose cache is behind this version must refresh before serving, /// giving monotonic reads across nodes regardless of which one the load - /// balancer routes to. Sourced only from reads (always committed dataset - /// versions), never from writes (which may return WAL entry ids), so it is - /// unaffected by the WAL/version mismatch that retired `min_version`. + /// balancer routes to. Unlike write result bodies, this is sourced only + /// from the server's committed dataset-version response header or other + /// typed dataset-version fields, so WAL entry ids cannot enter it. min_read_version: Option, /// Wall-clock time captured at the last [`BaseTable::checkout_latest`] /// call. Subsequent reads send @@ -118,14 +155,22 @@ struct FreshnessState { checkout_baseline: Option, } -/// Snapshot of the headers that should be attached to a single read request. +/// Snapshot of the headers that should be attached to a single table request. #[derive(Debug, Default, Clone, Copy)] struct FreshnessHeaders { + generation: u64, min_version: Option, min_timestamp: Option, min_read_version: Option, } +#[derive(Debug, Default, Clone, Copy)] +struct ReadSnapshot { + version: Option, + freshness_state: FreshnessState, + freshness: FreshnessHeaders, +} + impl FreshnessHeaders { fn apply(self, mut request: RequestBuilder) -> RequestBuilder { if let Some(v) = self.min_version { @@ -140,6 +185,61 @@ impl FreshnessHeaders { } request } + + fn observe_version(self, freshness: &Mutex, version: u64) { + track_read_version_for_generation(freshness, self.generation, version); + } + + fn observe_headers( + self, + freshness: &Mutex, + headers: &reqwest::header::HeaderMap, + ) { + if let Some(version) = headers + .get(&VERSION_HEADER) + .and_then(|value| value.to_str().ok()) + .and_then(|value| value.parse::().ok()) + { + self.observe_version(freshness, version); + } + } + + fn update_if_current( + self, + freshness: &Mutex, + update: impl FnOnce(&mut FreshnessState), + ) { + let mut state = freshness.lock().unwrap(); + if state.generation == self.generation { + update(&mut state); + } + } + + fn is_current(self, freshness: &Mutex) -> bool { + freshness.lock().unwrap().generation == self.generation + } +} + +fn track_read_version(freshness: &Mutex, version: u64) { + if version == 0 { + return; + } + let mut state = freshness.lock().unwrap(); + state.min_read_version = Some(state.min_read_version.map_or(version, |v| v.max(version))); +} + +fn track_read_version_for_generation( + freshness: &Mutex, + generation: u64, + version: u64, +) { + if version == 0 { + return; + } + let mut state = freshness.lock().unwrap(); + if state.generation == generation { + state.min_read_version = Some(state.min_read_version.map_or(version, |v| v.max(version))); + } } /// A backfill job whose successful wait establishes a read-freshness @@ -150,6 +250,8 @@ struct FreshnessJob { inner: RemoteJob, freshness: Arc>, version: Arc>>, + track_refresh_result: bool, + freshness_request: FreshnessHeaders, } #[async_trait] @@ -166,7 +268,31 @@ impl crate::job::JobHandle for FreshnessJob { let result = crate::job::JobHandle::wait(&self.inner).await?; let version = self.version.read().await; if version.is_none() { - self.freshness.lock().unwrap().checkout_baseline = Some(SystemTime::now()); + let result_version = self + .track_refresh_result + .then(|| result.value()) + .flatten() + .and_then(|value| { + serde_json::from_value::(value.clone()) + .ok() + }) + .map(|result| { + result + .published_version + .map_or(result.source_version, |version| { + version.max(result.source_version) + }) + }) + .filter(|version| *version != 0); + if let Some(version) = result_version { + self.freshness_request + .observe_version(&self.freshness, version); + } else { + self.freshness_request + .update_if_current(&self.freshness, |state| { + state.checkout_baseline = Some(SystemTime::now()); + }); + } } Ok(result) } @@ -193,6 +319,38 @@ fn compute_min_timestamp( } } +fn freshness_headers_snapshot( + freshness: &Mutex, + interval: Option, +) -> FreshnessHeaders { + freshness_state_snapshot(freshness, interval).1 +} + +fn freshness_state_snapshot( + freshness: &Mutex, + interval: Option, +) -> (FreshnessState, FreshnessHeaders) { + let state = *freshness.lock().unwrap(); + if state.pinned { + return ( + state, + FreshnessHeaders { + generation: state.generation, + ..FreshnessHeaders::default() + }, + ); + } + ( + state, + FreshnessHeaders { + generation: state.generation, + min_version: state.min_version, + min_timestamp: compute_min_timestamp(&state, interval, SystemTime::now()), + min_read_version: state.min_read_version, + }, + ) +} + /// Normalize a branch selector: trim whitespace and treat `""` or `"main"` as /// the (absent) main branch, matching the server's convention. fn normalize_branch(branch: Option) -> Option { @@ -210,8 +368,9 @@ impl Tags for RemoteTags<'_, S> { async fn list(&self) -> Result> { let request = self .inner - .post_read(&format!("/v1/table/{}/tags/list/", self.inner.identifier)); - let (request_id, response) = self.inner.send(request, true).await?; + .client + .post(&format!("/v1/table/{}/tags/list/", self.inner.identifier)); + let (request_id, response) = self.inner.send_unfenced(request, true).await?; let response = self .inner .check_table_response(&request_id, response) @@ -241,12 +400,12 @@ impl Tags for RemoteTags<'_, S> { } async fn get_version(&self, tag: &str) -> Result { - let request = self.inner.post_read(&format!( + let request = self.inner.client.post(&format!( "/v1/table/{}/tags/version/", self.inner.identifier )); self.inner - .resolve_tag_version_with_request(tag, request) + .resolve_tag_version_with_request(tag, request, false) .await } @@ -276,7 +435,7 @@ impl Tags for RemoteTags<'_, S> { .post(&format!("/v1/table/{}/tags/delete/", self.inner.identifier)) .json(&serde_json::json!({ "tag": tag })); - let (request_id, response) = self.inner.send(request, true).await?; + let (request_id, response) = self.inner.send_unfenced(request, true).await?; self.inner .check_table_response(&request_id, response) .await?; @@ -349,8 +508,21 @@ impl RemoteTable { }); } }; + if matches!( + &index.index, + Index::FTS(params) if params.get_document_granularity().is_list_element() + ) && !self.server_version.support_fts_document_granularity() + { + return Err(Error::NotSupported { + message: "FTS document granularity requires remote server version 0.6.0 or later" + .into(), + }); + } let schema = self.schema().await?; - let (canonical_column, field) = resolve_arrow_field_path(&schema, &column)?; + let (canonical_column, field) = match &index.index { + Index::FTS(_) => resolve_arrow_fts_field_path(&schema, &column)?, + _ => resolve_arrow_field_path(&schema, &column)?, + }; let mut body = serde_json::json!({ "column": canonical_column }); @@ -386,7 +558,13 @@ impl RemoteTable { Index::Bitmap(p) => ("BITMAP", Some(to_json(p)?)), Index::LabelList(p) => ("LABEL_LIST", Some(to_json(p)?)), Index::Fm(p) => ("FM", Some(to_json(p)?)), - Index::FTS(p) => ("FTS", Some(to_json(p)?)), + Index::FTS(p) => { + let mut params = to_json(p)?; + if p.get_document_granularity().is_list_element() { + params["document_granularity"] = "list_element".into(); + } + ("FTS", Some(params)) + } Index::Auto => { if supported_vector_data_type(field.data_type()) { body[METRIC_TYPE_KEY] = @@ -468,6 +646,7 @@ impl RemoteTable { let Ok(description) = serde_json::from_str::(describe_body) else { return; }; + self.track_read_version(description.version); if let Ok(schema) = arrow_schema::Schema::try_from(description.schema) { self.schema_cache.seed(Arc::new(schema)); } @@ -510,23 +689,50 @@ impl RemoteTable { } async fn describe(&self) -> Result { - let version = self.current_version().await; - self.describe_version(version).await + self.describe_read_snapshot(self.snapshot_read_state().await) + .await } - async fn describe_version(&self, version: Option) -> Result { - let request = self.post_read(&format!("/v1/table/{}/describe/", self.identifier)); - self.describe_with_request(request, version).await + async fn describe_read_snapshot( + &self, + read_snapshot: ReadSnapshot, + ) -> Result { + let request = self + .client + .post(&format!("/v1/table/{}/describe/", self.identifier)); + self.describe_with_request( + request, + read_snapshot.version, + Some(read_snapshot.freshness), + ) + .await + } + + async fn schema_read_snapshot(&self, read_snapshot: ReadSnapshot) -> Result { + if read_snapshot.freshness.is_current(&self.freshness) + && let Some(schema) = self.schema_cache.try_get() + && read_snapshot.freshness.is_current(&self.freshness) + { + return Ok(schema); + } + + let description = self.describe_read_snapshot(read_snapshot).await?; + Ok(Arc::new(description.schema.try_into()?)) } async fn resolve_tag_version_with_request( &self, tag: &str, request: RequestBuilder, + fenced: bool, ) -> Result { let request = request.json(&serde_json::json!({ "tag": tag })); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = if fenced { + self.send(request, true).await? + } else { + self.send_unfenced(request, true).await? + }; let response = self.check_table_response(&request_id, response).await?; match response.text().await { @@ -565,7 +771,7 @@ impl RemoteTable { .client .post(&format!("/v1/table/{}/tags/version/", self.identifier)) .json(&serde_json::json!({ "tag": tag })); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = self.send_unfenced(request, true).await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; let value: serde_json::Value = serde_json::from_str(&body).map_err(|e| Error::Http { @@ -592,21 +798,34 @@ impl RemoteTable { &self, request: RequestBuilder, version: Option, + freshness_request: Option, ) -> Result { let mut body = serde_json::json!({ "version": version }); self.apply_branch_body(&mut body); let request = request.json(&body); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = if let Some(freshness_request) = freshness_request { + self.send_with_freshness(request, true, freshness_request) + .await? + } else { + self.send_unfenced(request, true).await? + }; let response = self.check_table_response(&request_id, response).await?; match response.text().await { - Ok(body) => serde_json::from_str(&body).map_err(|e| Error::Http { - source: format!("Failed to parse table description: {}", e).into(), - request_id, - status_code: None, - }), + Ok(body) => { + let description: TableDescription = + serde_json::from_str(&body).map_err(|e| Error::Http { + source: format!("Failed to parse table description: {}", e).into(), + request_id, + status_code: None, + })?; + if let Some(freshness_request) = freshness_request { + freshness_request.observe_version(&self.freshness, description.version); + } + Ok(description) + } Err(err) => { let status_code = err.status(); Err(Error::Http { @@ -619,14 +838,41 @@ impl RemoteTable { } async fn send(&self, req: RequestBuilder, with_retry: bool) -> Result<(String, Response)> { + let freshness_request = self.snapshot_freshness_headers(); + self.send_with_freshness(req, with_retry, freshness_request) + .await + } + + async fn send_with_freshness( + &self, + req: RequestBuilder, + with_retry: bool, + freshness_request: FreshnessHeaders, + ) -> Result<(String, Response)> { + let req = freshness_request.apply(req); let res = if with_retry { self.client.send_with_retry(req, None, true).await? } else { self.client.send(req).await? }; + if res.1.status().is_success() { + freshness_request.observe_headers(&self.freshness, res.1.headers()); + } Ok(res) } + async fn send_unfenced( + &self, + req: RequestBuilder, + with_retry: bool, + ) -> Result<(String, Response)> { + if with_retry { + self.client.send_with_retry(req, None, true).await + } else { + self.client.send(req).await + } + } + pub(super) async fn handle_table_not_found( table_name: &str, response: reqwest::Response, @@ -800,6 +1046,18 @@ impl RemoteTable { }); } + let requires_document_granularity_support = + fts_query_requires_document_granularity_support(&full_text_search.query); + if requires_document_granularity_support + && !self.server_version.support_fts_document_granularity() + { + return Err(Error::NotSupported { + message: + "FTS document granularity requires remote server version 0.6.0 or later" + .into(), + }); + } + if self.server_version.support_structural_fts() { body["full_text_query"] = serde_json::json!({ "query": full_text_search.query.clone(), @@ -1003,24 +1261,32 @@ impl RemoteTable { } } - async fn current_version(&self) -> Option { - let read_guard = self.version.read().await; - *read_guard + async fn snapshot_read_state(&self) -> ReadSnapshot { + let version = self.version.read().await; + let (freshness_state, freshness) = + freshness_state_snapshot(&self.freshness, self.client.read_consistency_interval); + ReadSnapshot { + version: *version, + freshness_state, + freshness, + } } - /// Snapshot the freshness headers to attach to a single read request. + /// Snapshot the freshness headers to attach to a single table request. /// Computed at call time so that retries reuse the same snapshot. fn snapshot_freshness_headers(&self) -> FreshnessHeaders { - let state = *self.freshness.lock().unwrap(); - FreshnessHeaders { - min_version: state.min_version, - min_timestamp: compute_min_timestamp( - &state, - self.client.read_consistency_interval, - SystemTime::now(), - ), - min_read_version: state.min_read_version, - } + freshness_headers_snapshot(&self.freshness, self.client.read_consistency_interval) + } + + fn reset_freshness(&self, checkout_baseline: Option, pinned: bool) { + let mut state = self.freshness.lock().unwrap(); + let generation = state.generation.wrapping_add(1); + *state = FreshnessState { + generation, + pinned, + checkout_baseline, + ..FreshnessState::default() + }; } /// Send an LSM operator request with the transport retry layer **off**. @@ -1035,46 +1301,25 @@ impl RemoteTable { Ok((request_id, response)) } - /// Build a POST request and attach the read-freshness headers - /// (`x-lancedb-min-version`, `x-lancedb-min-timestamp`). - fn post_read(&self, uri: &str) -> RequestBuilder { - self.snapshot_freshness_headers() - .apply(self.client.post(uri)) - } - /// Record a version returned by a write so subsequent reads can request at /// least that version via `x-lancedb-min-version`. A returned `0` from a /// backward-compatible old server is ignored. - fn track_write_version(&self, version: u64) { + fn track_write_version(&self, freshness_request: FreshnessHeaders, version: u64) { if version == 0 { return; } - let mut state = self.freshness.lock().unwrap(); - state.min_version = Some(state.min_version.map_or(version, |v| v.max(version))); + freshness_request.update_if_current(&self.freshness, |state| { + state.min_version = Some(state.min_version.map_or(version, |v| v.max(version))); + }); } - /// Record a dataset version observed in a *read* response so subsequent - /// reads request at least this version via `x-lancedb-min-read-version`, + /// Record a committed dataset version observed in a table response so + /// subsequent requests ask for at least this version via + /// `x-lancedb-min-read-version`, /// giving monotonic reads across load-balanced query nodes. A returned `0` /// (or absent header from an old server) is ignored. fn track_read_version(&self, version: u64) { - if version == 0 { - return; - } - let mut state = self.freshness.lock().unwrap(); - state.min_read_version = Some(state.min_read_version.map_or(version, |v| v.max(version))); - } - - /// Parse the `x-lancedb-version` response header (the dataset version a read - /// reflects) and fold it into the read-version watermark. - fn track_read_version_from_headers(&self, headers: &reqwest::header::HeaderMap) { - if let Some(version) = headers - .get(&VERSION_HEADER) - .and_then(|value| value.to_str().ok()) - .and_then(|value| value.parse::().ok()) - { - self.track_read_version(version); - } + track_read_version(&self.freshness, version); } async fn execute_query( @@ -1082,7 +1327,9 @@ impl RemoteTable { query: &AnyQuery, options: &QueryExecutionOptions, ) -> Result>>> { - let mut request = self.post_read(&format!("/v1/table/{}/query/", self.identifier)); + let mut request = self + .client + .post(&format!("/v1/table/{}/query/", self.identifier)); if let Some(timeout) = options.timeout { // Also send to server, so it can abort the query if it takes too long. @@ -1092,15 +1339,17 @@ impl RemoteTable { } } - let query_bodies = self.prepare_query_bodies(query).await?; + let read_snapshot = self.snapshot_read_state().await; + let query_bodies = self.prepare_query_bodies(query, read_snapshot.version)?; let requests: Vec = query_bodies .into_iter() .map(|body| request.try_clone().unwrap().json(&body)) .collect(); let futures = requests.into_iter().map(|req| async move { - let (request_id, response) = self.send(req, true).await?; - self.track_read_version_from_headers(response.headers()); + let (request_id, response) = self + .send_with_freshness(req, true, read_snapshot.freshness) + .await?; self.read_arrow_response(&request_id, response).await }); let streams = futures::future::try_join_all(futures); @@ -1125,12 +1374,16 @@ impl RemoteTable { } } - async fn prepare_query_bodies(&self, query: &AnyQuery) -> Result> { - let version = self.current_version().await; + fn prepare_query_bodies( + &self, + query: &AnyQuery, + version: Option, + ) -> Result> { + let query = query.canonicalized()?; let mut base_body = serde_json::json!({ "version": version }); self.apply_branch_body(&mut base_body); - match query { + match &query { AnyQuery::Query(query) => { let mut body = base_body.clone(); self.apply_query_params(&mut body, query)?; @@ -1230,14 +1483,15 @@ async fn fetch_schema( client: &RestfulLanceDbClient, identifier: &str, table_name: &str, - version: Option, + read_snapshot: ReadSnapshot, branch: Option, - freshness_headers: FreshnessHeaders, + freshness: Arc>, ) -> Result { - let mut body = serde_json::json!({ "version": version }); + let mut body = serde_json::json!({ "version": read_snapshot.version }); if let Some(branch) = &branch { body["branch"] = serde_json::Value::String(branch.clone()); } + let freshness_headers = read_snapshot.freshness; let request = freshness_headers .apply(client.post(&format!("/v1/table/{}/describe/", identifier))) .json(&body); @@ -1257,6 +1511,7 @@ async fn fetch_schema( } let response = client.check_response(&request_id, response).await?; + freshness_headers.observe_headers(&freshness, response.headers()); let body = response.text().await.map_err(|e| { let status_code = e.status(); Error::Http { @@ -1271,6 +1526,12 @@ async fn fetch_schema( request_id, status_code: None, })?; + freshness_headers.observe_version(&freshness, description.version); + if !freshness_headers.is_current(&freshness) { + return Err(Error::Runtime { + message: SCHEMA_SELECTOR_CHANGED.to_string(), + }); + } let arrow_schema: arrow_schema::Schema = description.schema.try_into()?; Ok(Arc::new(arrow_schema)) @@ -1401,18 +1662,25 @@ impl RemoteTable { use crate::remote::retry::RetryCounter; let _guard = output.tracker.as_ref().map(|t| t.track_task()); + let freshness_request = self.snapshot_freshness_headers(); - let mut insert: Arc = Arc::new(RemoteWriteExec::new( - self.name.clone(), - self.identifier.clone(), - self.client.clone(), - output.plan, - WriteOp::Insert { - overwrite: output.overwrite, - }, - output.tracker.clone(), - self.branch.clone(), - )); + let mut insert: Arc = Arc::new( + RemoteWriteExec::new( + self.name.clone(), + self.identifier.clone(), + self.client.clone(), + output.plan, + WriteOp::Insert { + overwrite: output.overwrite, + }, + output.tracker.clone(), + self.branch.clone(), + ) + .with_freshness( + self.freshness.clone(), + self.client.read_consistency_interval, + ), + ); let mut retry_counter = RetryCounter::new(&self.client.retry_config, uuid::Uuid::new_v4().to_string()); @@ -1431,7 +1699,7 @@ impl RemoteTable { if output.overwrite { self.invalidate_schema_cache(); } - self.track_write_version(add_result.version); + self.track_write_version(freshness_request, add_result.version); return Ok(add_result); } @@ -1457,6 +1725,7 @@ impl RemoteTable { RetryCounter::new(&self.client.retry_config, uuid::Uuid::new_v4().to_string()); loop { + let freshness_request = self.snapshot_freshness_headers(); let upload_id = self.create_multipart_write().await?; let result = self @@ -1469,7 +1738,7 @@ impl RemoteTable { if output.overwrite { self.invalidate_schema_cache(); } - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); return Ok(result); } Err(e) => { @@ -1525,18 +1794,24 @@ impl RemoteTable { )?, ) as Arc; - let insert = Arc::new(RemoteWriteExec::new_multipart( - self.name.clone(), - self.identifier.clone(), - self.client.clone(), - plan, - output.overwrite, - upload_id.to_string(), - output.tracker.clone(), - self.branch.clone(), - self.client.max_bytes_per_request(), - self.client.max_request_duration(), - )); + let insert = Arc::new( + RemoteWriteExec::new_multipart( + self.name.clone(), + self.identifier.clone(), + self.client.clone(), + plan, + output.overwrite, + upload_id.to_string(), + output.tracker.clone(), + self.branch.clone(), + self.client.max_bytes_per_request(), + self.client.max_request_duration(), + ) + .with_freshness( + self.freshness.clone(), + self.client.read_consistency_interval, + ), + ); let task_ctx = Arc::new(datafusion_execution::TaskContext::default()); let tracker = output.tracker.clone(); @@ -1599,6 +1874,38 @@ where } impl RemoteTable { + async fn index_stats_read_snapshot( + &self, + index_name: &str, + read_snapshot: ReadSnapshot, + ) -> Result> { + let encoded_name = urlencoding::encode(index_name); + let mut body = serde_json::json!({ "version": read_snapshot.version }); + self.apply_branch_body(&mut body); + let request = self + .client + .post(&format!( + "/v1/table/{}/index/{encoded_name}/stats/", + self.identifier + )) + .json(&body); + + let (request_id, response) = self + .send_with_freshness(request, true, read_snapshot.freshness) + .await?; + if response.status() == StatusCode::NOT_FOUND { + return Ok(None); + } + let response = self.check_table_response(&request_id, response).await?; + let body = response.text().await.err_to_http(request_id.clone())?; + let stats = serde_json::from_str(&body).map_err(|e| Error::Http { + source: format!("Failed to parse index statistics: {}", e).into(), + request_id, + status_code: None, + })?; + Ok(Some(stats)) + } + /// Parse the response from `/index/list/` into `IndexConfig` entries. /// /// When the server returns `index_type` inline, all enriched fields are @@ -1610,6 +1917,7 @@ impl RemoteTable { body: &str, request_id: &str, schema: &SchemaRef, + read_snapshot: ReadSnapshot, ) -> Result> { use crate::index::IndexType; @@ -1678,7 +1986,10 @@ impl RemoteTable { })) } else { // Legacy response: fetch index type via stats endpoint. - match self.index_stats(&entry.index_name).await { + match self + .index_stats_read_snapshot(&entry.index_name, read_snapshot) + .await + { Ok(Some(stats)) => Ok(Some(IndexConfig { name: entry.index_name, index_type: stats.index_type, @@ -1722,9 +2033,39 @@ impl BaseTable for RemoteTable { fn id(&self) -> &str { &self.identifier } + async fn query_snapshot(&self) -> Result> { + let description = self.describe().await?; + let TableDescription { + version, + schema, + location, + } = description; + let schema = Arc::new(arrow_schema::Schema::try_from(schema)?); + let snapshot = self.with_branch(self.branch.clone()); + *snapshot.version.write().await = Some(version); + *snapshot.location.write().await = location; + snapshot.schema_cache.seed(schema); + Ok(Arc::new(snapshot)) + } async fn version(&self) -> Result { self.describe().await.map(|desc| desc.version) } + + async fn checkout_current(&self) -> Result> { + let description = self.describe().await?; + let TableDescription { + version, + schema, + location, + } = description; + let schema = Arc::new(arrow_schema::Schema::try_from(schema)?); + let snapshot = self.with_branch(self.branch.clone()); + *snapshot.version.write().await = Some(version); + *snapshot.location.write().await = location; + snapshot.schema_cache.seed(schema); + Ok(Arc::new(snapshot)) + } + async fn checkout(&self, version: u64) -> Result<()> { // Validate the version exists. The describe is sent without freshness // headers so a stale `min_version` from a previous write doesn't ride @@ -1732,7 +2073,7 @@ impl BaseTable for RemoteTable { let request = self .client .post(&format!("/v1/table/{}/describe/", self.identifier)); - self.describe_with_request(request, Some(version)) + self.describe_with_request(request, Some(version), None) .await .map_err(|e| match e { // try to map the error to a more user-friendly error telling them @@ -1745,46 +2086,52 @@ impl BaseTable for RemoteTable { })?; let mut write_guard = self.version.write().await; + // Commit the selector and its freshness mode while holding the selector + // write lock, with no cancellation point between the two updates. + self.reset_freshness(None, true); *write_guard = Some(version); - drop(write_guard); - - // Explicit time-travel: drop any read-your-write / freshness - // constraints so the user sees exactly the requested version. - *self.freshness.lock().unwrap() = FreshnessState::default(); - - // Invalidate schema cache since we're switching versions self.invalidate_schema_cache(); + drop(write_guard); Ok(()) } async fn checkout_latest(&self) -> Result<()> { let mut write_guard = self.version.write().await; - *write_guard = None; - drop(write_guard); - // Drop any per-handle read/write tracking; subsequent reads use the // baseline timestamp captured now to guarantee freshness. - *self.freshness.lock().unwrap() = FreshnessState { - min_version: None, - checkout_baseline: Some(SystemTime::now()), - min_read_version: None, - }; - - // Invalidate schema cache since we're switching versions + self.reset_freshness(Some(SystemTime::now()), false); + *write_guard = None; self.invalidate_schema_cache(); + drop(write_guard); Ok(()) } + async fn snapshot_at_current_version(&self) -> Result>> { + // A checked-out handle already names its snapshot. Otherwise resolve + // latest exactly once before creating the independent pinned handle. + let read_snapshot = self.snapshot_read_state().await; + let version = match read_snapshot.version { + Some(version) => version, + None => self.describe_read_snapshot(read_snapshot).await?.version, + }; + + let snapshot = self.with_branch(self.branch.clone()); + *snapshot.version.write().await = Some(version); + snapshot.reset_freshness(None, true); + Ok(Some(Arc::new(snapshot))) + } async fn restore(&self) -> Result<()> { let mut request = self .client .post(&format!("/v1/table/{}/restore/", self.identifier)); - let version = self.current_version().await; - let mut body = serde_json::json!({ "version": version }); + let read_snapshot = self.snapshot_read_state().await; + let mut body = serde_json::json!({ "version": read_snapshot.version }); self.apply_branch_body(&mut body); request = request.json(&body); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = self + .send_with_freshness(request, true, read_snapshot.freshness) + .await?; self.check_table_response(&request_id, response).await?; self.checkout_latest().await?; Ok(()) @@ -1792,7 +2139,8 @@ impl BaseTable for RemoteTable { async fn list_versions(&self) -> Result> { let request = self.apply_branch_query( - self.post_read(&format!("/v1/table/{}/version/list/", self.identifier)), + self.client + .post(&format!("/v1/table/{}/version/list/", self.identifier)), ); let (request_id, response) = self.send(request, true).await?; let response = self.check_table_response(&request_id, response).await?; @@ -1856,31 +2204,42 @@ impl BaseTable for RemoteTable { } async fn schema(&self) -> Result { - if let Some(schema) = self.schema_cache.try_get() { - return Ok(schema); - } + loop { + let read_snapshot = self.snapshot_read_state().await; + if let Some(schema) = self.schema_cache.try_get() { + return Ok(schema); + } - let version = self.current_version().await; - let client = self.client.clone(); - let identifier = self.identifier.clone(); - let table_name = self.name.clone(); - let branch = self.branch.clone(); - let freshness_headers = self.snapshot_freshness_headers(); + let client = self.client.clone(); + let identifier = self.identifier.clone(); + let table_name = self.name.clone(); + let branch = self.branch.clone(); + let freshness = self.freshness.clone(); - self.schema_cache - .get(move || async move { - fetch_schema( - &client, - &identifier, - &table_name, - version, - branch, - freshness_headers, - ) + match self + .schema_cache + .get(move || async move { + fetch_schema( + &client, + &identifier, + &table_name, + read_snapshot, + branch, + freshness, + ) + .await + }) .await - }) - .await - .map_err(unwrap_shared_error) + { + Ok(schema) => return Ok(schema), + Err(error) + if matches!( + &*error, + Error::Runtime { message } if message == SCHEMA_SELECTOR_CHANGED + ) => {} + Err(error) => return Err(unwrap_shared_error(error)), + } + } } async fn create_branch( @@ -1922,7 +2281,7 @@ impl BaseTable for RemoteTable { // Send without retry so the expected 409 (branch already exists) is // surfaced as a response we can map, rather than being retried. - let (request_id, response) = self.send(request, false).await?; + let (request_id, response) = self.send_unfenced(request, false).await?; match response.status() { StatusCode::CONFLICT => { return Err(Error::TableAlreadyExists { @@ -1983,8 +2342,10 @@ impl BaseTable for RemoteTable { async fn list_branches(&self) -> Result> { use lance::dataset::refs::BranchContents; - let request = self.post_read(&format!("/v1/table/{}/branches/list/", self.identifier)); - let (request_id, response) = self.send(request, true).await?; + let request = self + .client + .post(&format!("/v1/table/{}/branches/list/", self.identifier)); + let (request_id, response) = self.send_unfenced(request, true).await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2038,7 +2399,7 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/branches/diff/", self.identifier)) .json(&serde_json::json!({ "from_branch": from_branch })); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = self.send_unfenced(request, true).await?; if response.status() == StatusCode::NOT_FOUND { return Err(Error::TableNotFound { name: format!("{} (branch: {})", self.name, from_branch), @@ -2064,6 +2425,12 @@ impl BaseTable for RemoteTable { message: "Branch name cannot be empty.".into(), }); } + let read_snapshot = self.snapshot_read_state().await; + let target_freshness = if self.branch.is_none() && read_snapshot.version.is_none() { + Some(read_snapshot.freshness) + } else { + None + }; let request = self .client .post(&format!( @@ -2075,7 +2442,7 @@ impl BaseTable for RemoteTable { "dry_run": dry_run, })); // No retry. HTTP 409 is CherryPickStatus::Failed with a body, not a transport error. - let (request_id, response) = self.send(request, false).await?; + let (request_id, response) = self.send_unfenced(request, false).await?; let status = response.status(); if status == StatusCode::NOT_FOUND { return Err(Error::TableNotFound { @@ -2093,7 +2460,7 @@ impl BaseTable for RemoteTable { }); } let body = response.text().await.err_to_http(request_id.clone())?; - serde_json::from_str(&body).map_err(|err| Error::Http { + let result: CherryPickResult = serde_json::from_str(&body).map_err(|err| Error::Http { source: format!( "Failed to parse cherry_pick response: {}, body: {}", err, body @@ -2101,7 +2468,15 @@ impl BaseTable for RemoteTable { .into(), request_id, status_code: Some(status), - }) + })?; + if !dry_run + && status == StatusCode::OK + && result.status == crate::table::CherryPickStatus::CherryPicked + && let (Some(freshness), Some(version)) = (target_freshness, result.main_version_after) + { + freshness.observe_version(&self.freshness, version); + } + Ok(result) } fn current_branch(&self) -> Option { @@ -2109,23 +2484,28 @@ impl BaseTable for RemoteTable { } async fn count_rows(&self, filter: Option) -> Result { - let mut request = self.post_read(&format!("/v1/table/{}/count_rows/", self.identifier)); + let mut request = self + .client + .post(&format!("/v1/table/{}/count_rows/", self.identifier)); - let version = self.current_version().await; + let read_snapshot = self.snapshot_read_state().await; let mut body = if let Some(filter) = filter { let filter_sql = match filter { - Filter::Sql(sql) => sql.clone(), + Filter::Sql(sql) => crate::expr::canonicalize_sql_predicate(&sql)?, Filter::Datafusion(expr) => expr_to_sql_string(&expr)?, }; - serde_json::json!({ "predicate": filter_sql, "version": version }) + serde_json::json!({ "predicate": filter_sql, "version": read_snapshot.version }) } else { - serde_json::json!({ "version": version }) + serde_json::json!({ "version": read_snapshot.version }) }; self.apply_branch_body(&mut body); request = request.json(&body); - let (request_id, response) = match self.send(request, true).await { + let (request_id, response) = match self + .send_with_freshness(request, true, read_snapshot.freshness) + .await + { Ok((id, resp)) => { // check_table_response now handles error-based invalidation let response = self.check_table_response(&id, resp).await?; @@ -2137,7 +2517,6 @@ impl BaseTable for RemoteTable { } }; - self.track_read_version_from_headers(response.headers()); let body = response.text().await.err_to_http(request_id.clone())?; serde_json::from_str(&body).map_err(|e| Error::Http { @@ -2149,6 +2528,15 @@ impl BaseTable for RemoteTable { async fn add(&self, mut add: AddDataBuilder) -> Result { self.check_mutable().await?; + if add.allow_external_blob_outside_bases { + return Err(Error::NotSupported { + message: "allow_external_blob_outside_bases is only supported on local tables" + .to_string(), + }); + } + // String blob values still coerce to the uri child in into_plan. + // Remote and local share that input shape. + let table_schema = self.schema().await?; crate::table::computed_columns::ensure_supported_function_metadata(table_schema.as_ref())?; let table_def = TableDefinition::try_from_rich_schema(table_schema.clone())?; @@ -2261,9 +2649,12 @@ impl BaseTable for RemoteTable { } async fn explain_plan(&self, query: &AnyQuery, verbose: bool) -> Result { - let base_request = self.post_read(&format!("/v1/table/{}/explain_plan/", self.identifier)); + let base_request = self + .client + .post(&format!("/v1/table/{}/explain_plan/", self.identifier)); - let query_bodies = self.prepare_query_bodies(query).await?; + let read_snapshot = self.snapshot_read_state().await; + let query_bodies = self.prepare_query_bodies(query, read_snapshot.version)?; let requests: Vec = query_bodies .into_iter() .map(|query_body| { @@ -2277,7 +2668,9 @@ impl BaseTable for RemoteTable { .collect::>(); let futures = requests.into_iter().map(|req| async move { - let (request_id, response) = self.send(req, true).await?; + let (request_id, response) = self + .send_with_freshness(req, true, read_snapshot.freshness) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2308,7 +2701,9 @@ impl BaseTable for RemoteTable { query: &AnyQuery, options: QueryExecutionOptions, ) -> Result { - let mut request = self.post_read(&format!("/v1/table/{}/analyze_plan/", self.identifier)); + let mut request = self + .client + .post(&format!("/v1/table/{}/analyze_plan/", self.identifier)); if options.analyze_plan_distributed_metrics != AnalyzePlanDistributedMetrics::Aggregate { request = request.query(&[( @@ -2317,14 +2712,17 @@ impl BaseTable for RemoteTable { )]); } - let query_bodies = self.prepare_query_bodies(query).await?; + let read_snapshot = self.snapshot_read_state().await; + let query_bodies = self.prepare_query_bodies(query, read_snapshot.version)?; let requests: Vec = query_bodies .into_iter() .map(|body| request.try_clone().unwrap().json(&body)) .collect(); let futures = requests.into_iter().map(|req| async move { - let (request_id, response) = self.send(req, true).await?; + let (request_id, response) = self + .send_with_freshness(req, true, read_snapshot.freshness) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2350,7 +2748,8 @@ impl BaseTable for RemoteTable { Ok(final_analyze) } - async fn update(&self, update: UpdateBuilder) -> Result { + async fn update(&self, mut update: UpdateBuilder) -> Result { + update.canonicalize_filter()?; self.check_mutable().await?; let request = self .client @@ -2368,7 +2767,10 @@ impl BaseTable for RemoteTable { self.apply_branch_body(&mut body); let request = request.json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2387,14 +2789,14 @@ impl BaseTable for RemoteTable { status_code: None, })?; - self.track_write_version(update_response.version); + self.track_write_version(freshness_request, update_response.version); Ok(update_response) } async fn delete(&self, predicate: Predicate<'_>) -> Result { self.check_mutable().await?; let predicate_sql = match predicate { - Predicate::String(s) => s.to_string(), + Predicate::String(s) => crate::expr::canonicalize_sql_predicate(s)?, Predicate::Expr(expr) => expr_to_sql_string(expr)?, }; let mut body = serde_json::json!({ "predicate": predicate_sql }); @@ -2403,7 +2805,10 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/delete/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; if body.trim().is_empty() { @@ -2419,7 +2824,7 @@ impl BaseTable for RemoteTable { request_id, status_code: None, })?; - self.track_write_version(delete_response.version); + self.track_write_version(freshness_request, delete_response.version); Ok(delete_response) } @@ -2429,7 +2834,13 @@ impl BaseTable for RemoteTable { async fn create_index_async(&self, index: IndexBuilder) -> Result { Ok(match self.submit_create_index(index).await? { - Some(job_id) => Job::new(Box::new(RemoteJob::new(self.client.clone(), job_id))), + Some(job_id) => Job::new(Box::new(FreshnessJob { + inner: RemoteJob::new(self.client.clone(), job_id), + freshness: self.freshness.clone(), + version: self.version.clone(), + track_refresh_result: false, + freshness_request: self.snapshot_freshness_headers(), + })), None => Job::new_done(), }) } @@ -2442,9 +2853,10 @@ impl BaseTable for RemoteTable { async fn merge_insert( &self, - params: MergeInsertBuilder, + mut params: MergeInsertBuilder, new_data: Box, ) -> Result { + params.canonicalize_filters()?; self.check_mutable().await?; let timeout = params.timeout; @@ -2469,16 +2881,23 @@ impl BaseTable for RemoteTable { let rescannable = source.rescannable(); let input: Arc = Arc::new(crate::table::datafusion::scannable_exec::ScannableExec::new(source, None)); + let freshness_request = self.snapshot_freshness_headers(); - let mut merge: Arc = Arc::new(RemoteWriteExec::new( - self.name.clone(), - self.identifier.clone(), - self.client.clone(), - input, - WriteOp::MergeInsert { query, timeout }, - None, - self.branch.clone(), - )); + let mut merge: Arc = Arc::new( + RemoteWriteExec::new( + self.name.clone(), + self.identifier.clone(), + self.client.clone(), + input, + WriteOp::MergeInsert { query, timeout }, + None, + self.branch.clone(), + ) + .with_freshness( + self.freshness.clone(), + self.client.read_consistency_interval, + ), + ); let mut retry_counter = crate::remote::retry::RetryCounter::new( &self.client.retry_config, @@ -2496,7 +2915,7 @@ impl BaseTable for RemoteTable { .and_then(|m| m.merge_result()) .unwrap_or_default(); - self.track_write_version(merge_result.version); + self.track_write_version(freshness_request, merge_result.version); return Ok(merge_result); } Err(err) if rescannable && self.is_retryable_write_error(&err) => { @@ -2535,7 +2954,8 @@ impl BaseTable for RemoteTable { async fn get_lsm_stats(&self, include_generation_rows: bool) -> Result> { // Read-semantics POST, like `get_lsm_write_spec`. let request = self - .post_read(&format!("/v1/table/{}/get_lsm_stats/", self.identifier)) + .client + .post(&format!("/v1/table/{}/get_lsm_stats/", self.identifier)) .json(&serde_json::json!({ "include_generation_rows": include_generation_rows, })); @@ -2609,7 +3029,7 @@ impl BaseTable for RemoteTable { // re-encodes it into the same sophon-owned shape the set endpoint // accepts — no lance/lancedb types cross the wire. `lsm_write_spec` is // null when the LSM write path is not enabled for the table. - let request = self.post_read(&format!( + let request = self.client.post(&format!( "/v1/table/{}/get_lsm_write_spec/", self.identifier )); @@ -2675,18 +3095,17 @@ impl BaseTable for RemoteTable { let request = self .client .post(&format!("/v1/table/{}/tags/version/", self.identifier)); - let version = self.resolve_tag_version_with_request(tag, request).await?; + let version = self + .resolve_tag_version_with_request(tag, request, false) + .await?; let mut write_guard = self.version.write().await; + // Commit the selector and its freshness mode while holding the selector + // write lock, with no cancellation point between the two updates. + self.reset_freshness(None, true); *write_guard = Some(version); - drop(write_guard); - - // Explicit time-travel: drop any read-your-write / freshness - // constraints so the user sees exactly the tagged version. - *self.freshness.lock().unwrap() = FreshnessState::default(); - - // Invalidate schema cache since we're switching versions self.invalidate_schema_cache(); + drop(write_guard); Ok(()) } @@ -2723,7 +3142,10 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/add_columns/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2740,7 +3162,7 @@ impl BaseTable for RemoteTable { })?; self.invalidate_schema_cache(); - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); Ok(result) } @@ -2776,7 +3198,10 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/add_columns/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2792,7 +3217,7 @@ impl BaseTable for RemoteTable { })?; self.invalidate_schema_cache(); - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); Ok(result) } @@ -2835,7 +3260,10 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/add_columns/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2850,7 +3278,7 @@ impl BaseTable for RemoteTable { })?; self.invalidate_schema_cache(); - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); Ok(result) } @@ -2864,12 +3292,16 @@ impl BaseTable for RemoteTable { }) } - async fn refresh_column_async(&self, column: &str) -> Result { + async fn refresh_column_async( + &self, + column: &str, + ) -> Result> { self.check_mutable().await?; let mut body = serde_json::json!({ "column": column }); self.apply_branch_body(&mut body); let request = self - .post_read(&format!("/v1/table/{}/backfill_column", self.identifier)) + .client + .post(&format!("/v1/table/{}/backfill_column", self.identifier)) .json(&body); let (request_id, response) = self.send(request, true).await?; let response = self.check_table_response(&request_id, response).await?; @@ -2885,10 +3317,12 @@ impl BaseTable for RemoteTable { status_code: None, })?; - Ok(Job::new(Box::new(FreshnessJob { + Ok(Job::new_typed(Box::new(FreshnessJob { inner: RemoteJob::new(self.client.clone(), response.job_id), freshness: self.freshness.clone(), version: self.version.clone(), + track_refresh_result: true, + freshness_request: self.snapshot_freshness_headers(), }))) } @@ -2920,7 +3354,10 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/alter_columns/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2936,7 +3373,7 @@ impl BaseTable for RemoteTable { })?; self.invalidate_schema_cache(); - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); Ok(result) } @@ -2955,7 +3392,10 @@ impl BaseTable for RemoteTable { self.identifier )) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2967,7 +3407,7 @@ impl BaseTable for RemoteTable { })?; self.invalidate_schema_cache(); - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); Ok(result) } @@ -2979,7 +3419,10 @@ impl BaseTable for RemoteTable { .client .post(&format!("/v1/table/{}/drop_columns/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let freshness_request = self.snapshot_freshness_headers(); + let (request_id, response) = self + .send_with_freshness(request, true, freshness_request) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; @@ -2995,55 +3438,34 @@ impl BaseTable for RemoteTable { })?; self.invalidate_schema_cache(); - self.track_write_version(result.version); + self.track_write_version(freshness_request, result.version); Ok(result) } async fn list_indices(&self) -> Result> { - let mut request = self.post_read(&format!("/v1/table/{}/index/list/", self.identifier)); - let version = self.current_version().await; - let mut body = serde_json::json!({ "version": version }); + let mut request = self + .client + .post(&format!("/v1/table/{}/index/list/", self.identifier)); + let read_snapshot = self.snapshot_read_state().await; + let mut body = serde_json::json!({ "version": read_snapshot.version }); self.apply_branch_body(&mut body); request = request.json(&body); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = self + .send_with_freshness(request, true, read_snapshot.freshness) + .await?; let response = self.check_table_response(&request_id, response).await?; let body = response.text().await.err_to_http(request_id.clone())?; - let schema = self.schema().await?; + let schema = self.schema_read_snapshot(read_snapshot).await?; - self.parse_index_list_response(&body, &request_id, &schema) + self.parse_index_list_response(&body, &request_id, &schema, read_snapshot) .await } async fn index_stats(&self, index_name: &str) -> Result> { - let encoded_name = urlencoding::encode(index_name); - let mut request = self.post_read(&format!( - "/v1/table/{}/index/{encoded_name}/stats/", - self.identifier - )); - let version = self.current_version().await; - let mut body = serde_json::json!({ "version": version }); - self.apply_branch_body(&mut body); - request = request.json(&body); - - let (request_id, response) = self.send(request, true).await?; - - if response.status() == StatusCode::NOT_FOUND { - return Ok(None); - } - - let response = self.check_table_response(&request_id, response).await?; - - let body = response.text().await.err_to_http(request_id.clone())?; - - let stats = serde_json::from_str(&body).map_err(|e| Error::Http { - source: format!("Failed to parse index statistics: {}", e).into(), - request_id, - status_code: None, - })?; - - Ok(Some(stats)) + self.index_stats_read_snapshot(index_name, self.snapshot_read_state().await) + .await } async fn drop_index(&self, index_name: &str) -> Result<()> { @@ -3133,7 +3555,9 @@ impl BaseTable for RemoteTable { } async fn stats(&self) -> Result { - let mut request = self.post_read(&format!("/v1/table/{}/stats/", self.identifier)); + let mut request = self + .client + .post(&format!("/v1/table/{}/stats/", self.identifier)); if let Some(branch) = &self.branch { request = request.json(&serde_json::json!({ "branch": branch })); } @@ -3155,15 +3579,21 @@ impl BaseTable for RemoteTable { write_params: lance::dataset::WriteParams, ) -> Result> { let overwrite = matches!(write_params.mode, lance::dataset::WriteMode::Overwrite); - Ok(Arc::new(insert::RemoteWriteExec::new( - self.name.clone(), - self.identifier.clone(), - self.client.clone(), - input, - WriteOp::Insert { overwrite }, - None, - self.branch.clone(), - ))) + Ok(Arc::new( + insert::RemoteWriteExec::new( + self.name.clone(), + self.identifier.clone(), + self.client.clone(), + input, + WriteOp::Insert { overwrite }, + None, + self.branch.clone(), + ) + .with_freshness( + self.freshness.clone(), + self.client.read_consistency_interval, + ), + )) } } @@ -3254,11 +3684,14 @@ mod tests { use arrow::{array::AsArray, compute::concat_batches, datatypes::Int32Type}; use arrow_array::Array; use arrow_array::builder::LargeBinaryBuilder; - use arrow_array::{BinaryArray, Int32Array, RecordBatch, RecordBatchIterator, record_batch}; + use arrow_array::{ + BinaryArray, Int32Array, Int64Array, RecordBatch, RecordBatchIterator, StringArray, + StructArray, record_batch, + }; use arrow_schema::{DataType, Field, Schema}; use chrono::{DateTime, Utc}; use futures::{StreamExt, TryFutureExt, future::BoxFuture}; - use lance_index::scalar::inverted::query::MatchQuery; + use lance_index::scalar::inverted::{DocumentGranularity, query::MatchQuery}; use lance_index::scalar::{FullTextSearchQuery, InvertedIndexParams}; use reqwest::Body; use rstest::rstest; @@ -3280,6 +3713,21 @@ mod tests { }, }; + fn refresh_done(job_id: &str) -> String { + json!({ + "job_id": job_id, + "job_state": "DONE", + "result": { + "rows_assigned": 12, + "rows_failed": 0, + "rows_remaining": 0, + "source_version": 7, + "published_version": 8, + } + }) + .to_string() + } + #[tokio::test] async fn test_not_found() { let table = Table::new_with_handler("my_table", |_| { @@ -3419,13 +3867,17 @@ mod tests { ); assert_eq!( request.body().unwrap().as_bytes().unwrap(), - br#"{"predicate":"a > 10","version":null}"# + br#"{"predicate":"`A` > 10","version":null}"# ); http::Response::builder().status(200).body("42").unwrap() }); - let count = table.count_rows(Some("a > 10".into())).await.unwrap(); + let count = table + .base_table() + .count_rows(Some(Filter::Sql(r#""A" > 10"#.into()))) + .await + .unwrap(); assert_eq!(count, 42); } @@ -3520,6 +3972,15 @@ mod tests { DataType::Struct(vec![Field::new("text", DataType::Utf8, false)].into()), false, ), + Field::new( + "docs", + DataType::List(Arc::new(Field::new( + "item", + DataType::Struct(vec![Field::new("content", DataType::Utf8, true)].into()), + true, + ))), + true, + ), Field::new( "meta-data", DataType::Struct(vec![Field::new("user-id", DataType::Int32, false)].into()), @@ -3591,6 +4052,88 @@ mod tests { assert_eq!(&body, &expected_body); } + #[tokio::test] + async fn add_rejects_external_blob_flag_before_any_request() { + let table = Table::new_with_handler::("my_table", |request| { + panic!("Unexpected request: {}", request.url().path()) + }); + let data = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])), + vec![Arc::new(Int32Array::from(vec![1]))], + ) + .unwrap(); + + let err = table + .add(data) + .allow_external_blob_outside_bases(true) + .execute() + .await + .unwrap_err(); + + assert!(matches!(err, Error::NotSupported { .. }), "got {err:?}"); + assert!(err.to_string().contains("local tables")); + } + + #[tokio::test] + async fn add_string_blob_becomes_uri_struct_without_the_local_flag() { + let table_schema = Schema::new(vec![ + Field::new("id", DataType::Int64, false), + crate::blob("image", true), + ]); + let describe_body = describe_response(&table_schema); + let input = RecordBatch::try_new( + Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int64, false), + Field::new("image", DataType::Utf8, true), + ])), + vec![ + Arc::new(Int64Array::from(vec![1])), + Arc::new(StringArray::from(vec![Some("s3://bucket/key")])), + ], + ) + .unwrap(); + + let (sender, receiver) = std::sync::mpsc::channel(); + let table = + Table::new_with_handler("my_table", move |mut request| match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body(describe_body.clone()) + .unwrap(), + "/v1/table/my_table/insert/" => { + let mut body_out = reqwest::Body::from(Vec::new()); + std::mem::swap(request.body_mut().as_mut().unwrap(), &mut body_out); + sender.send(body_out).unwrap(); + http::Response::builder() + .status(200) + .body(r#"{"version": 2}"#.to_string()) + .unwrap() + } + path => panic!("Unexpected path: {path}"), + }); + + table.add(input).execute().await.unwrap(); + + let body = collect_body(receiver.recv().unwrap()).await; + let mut reader = + arrow_ipc::reader::StreamReader::try_new(std::io::Cursor::new(body), None).unwrap(); + let batch = reader.next().unwrap().unwrap(); + let image = batch + .column_by_name("image") + .unwrap() + .as_any() + .downcast_ref::() + .expect("remote add should send the coerced blob struct"); + let uri: &StringArray = image + .column_by_name("uri") + .unwrap() + .as_any() + .downcast_ref() + .unwrap(); + assert_eq!(uri.value(0), "s3://bucket/key"); + assert!(image.column_by_name("data").unwrap().is_null(0)); + } + #[rstest] #[case(true)] #[case(false)] @@ -3817,7 +4360,7 @@ mod tests { assert_eq!(expression, "b - 1"); let only_if = value.get("predicate").unwrap().as_str().unwrap(); - assert_eq!(only_if, "b > 10"); + assert_eq!(only_if, "`B` > 10"); } if old_server { @@ -3833,14 +4376,12 @@ mod tests { } }); - let result = table + let update = table .update() .column("a", "a + 1") .column("b", "b - 1") - .only_if("b > 10") - .execute() - .await - .unwrap(); + .only_if(r#""B" > 10"#); + let result = table.base_table().update(update).await.unwrap(); assert_eq!(result.version, if old_server { 0 } else { 43 }); assert_eq!(result.rows_updated, if old_server { 0 } else { 5 }); @@ -3927,10 +4468,10 @@ mod tests { let params = request.url().query_pairs().collect::>(); assert_eq!(params["on"], "some_col"); - assert_eq!(params["when_matched_update_all"], "false"); + assert_eq!(params["when_matched_update_all"], "true"); assert_eq!(params["when_not_matched_insert_all"], "false"); assert_eq!(params["when_not_matched_by_source_delete"], "false"); - assert!(!params.contains_key("when_matched_update_all_filt")); + assert_eq!(params["when_matched_update_all_filt"], "target.`A` > 0"); assert!(!params.contains_key("when_not_matched_by_source_delete_filt")); assert!(!params.contains_key("use_index")); @@ -3947,11 +4488,9 @@ mod tests { } }); - let result = table - .merge_insert(&["some_col"]) - .execute(data) - .await - .unwrap(); + let mut merge = table.merge_insert(&["some_col"]); + merge.when_matched_update_all(Some(r#"target."A" > 0"#.into())); + let result = table.base_table().merge_insert(merge, data).await.unwrap(); assert_eq!(result.version, if old_server { 0 } else { 43 }); if !old_server { @@ -4013,7 +4552,7 @@ mod tests { let body = request.body().unwrap().as_bytes().unwrap(); let body: serde_json::Value = serde_json::from_slice(body).unwrap(); let predicate = body.get("predicate").unwrap().as_str().unwrap(); - assert_eq!(predicate, "id in (1, 2, 3)"); + assert_eq!(predicate, "`ID` in (1, 2, 3)"); if old_server { http::Response::builder() @@ -4031,7 +4570,11 @@ mod tests { } }); - let result = table.delete("id in (1, 2, 3)").await.unwrap(); + let result = table + .base_table() + .delete(Predicate::String(r#""ID" in (1, 2, 3)"#)) + .await + .unwrap(); assert_eq!(result.version, if old_server { 0 } else { 43 }); } @@ -4123,6 +4666,7 @@ mod tests { let body = request.body().unwrap().as_bytes().unwrap(); let body: serde_json::Value = serde_json::from_slice(body).unwrap(); let expected_body = serde_json::json!({ + "filter": "`A` > 0", "k": isize::MAX as usize, "prefilter": true, "vector": [], // Empty vector means no vector query. @@ -4138,9 +4682,13 @@ mod tests { .unwrap() }); + let query = AnyQuery::Query(QueryRequest { + filter: Some(QueryFilter::Sql(r#""A" > 0"#.into())), + ..Default::default() + }); let data = table - .query() - .execute() + .base_table() + .query(&query, Default::default()) .await .unwrap() .collect::>() @@ -4319,6 +4867,43 @@ mod tests { assert!(!table.base_table().scan_order_is_deterministic()); } + #[tokio::test] + async fn test_checkout_branch_pins_without_touching_the_original() { + let seen = Arc::new(std::sync::Mutex::new(Vec::new())); + let recorder = seen.clone(); + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + move |request| match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body(br#"{"version": 42, "schema": {"fields": []}}"#.to_vec()) + .unwrap(), + "/v1/table/my_table/count_rows/" => { + let body = request_body_json(&request); + recorder.lock().unwrap().push(body["version"].clone()); + http::Response::builder() + .status(200) + .body(b"0".to_vec()) + .unwrap() + } + path => panic!("unexpected request path: {path}"), + }, + ); + + let pinned = table.checkout_branch("main", Some(42)).await.unwrap(); + pinned.count_rows(None).await.unwrap(); + table.count_rows(None).await.unwrap(); + + let seen = seen.lock().unwrap(); + assert_eq!(seen[0], 42, "the pinned handle must send its version"); + assert!( + seen[1].is_null(), + "the original handle must still track latest, got {:?}", + seen[1] + ); + } + #[tokio::test] async fn test_fetch_blobs_sends_the_checked_out_version() { let ipc = one_row_blob_ipc_stream("image"); @@ -5029,7 +5614,7 @@ mod tests { #[tokio::test] async fn test_query_structured_fts() { let table = - Table::new_with_handler_version("my_table", semver::Version::new(0, 3, 0), |request| { + Table::new_with_handler_version("my_table", semver::Version::new(0, 6, 0), |request| { assert_eq!(request.method(), "POST"); assert_eq!(request.url().path(), "/v1/table/my_table/query/"); assert_eq!( @@ -5050,6 +5635,7 @@ mod tests { "max_expansions": 50, "operator": "Or", "prefix_length": 0, + "document_granularity": "list_element", }, } }, @@ -5079,6 +5665,7 @@ mod tests { .full_text_search(FullTextSearchQuery::new_query( MatchQuery::new("hello world".to_owned()) .with_column(Some("payload.text".to_owned())) + .with_document_granularity(DocumentGranularity::ListElement) .into(), )) .with_row_id() @@ -5088,6 +5675,76 @@ mod tests { .unwrap(); } + #[tokio::test] + async fn test_query_row_document_granularity_uses_structured_fts() { + let table = + Table::new_with_handler_version("my_table", semver::Version::new(0, 3, 0), |request| { + let body = request.body().unwrap().as_bytes().unwrap(); + let body: serde_json::Value = serde_json::from_slice(body).unwrap(); + assert_eq!( + body["full_text_query"]["query"]["match"]["document_granularity"], + "row" + ); + + let data = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])), + vec![Arc::new(Int32Array::from(vec![1]))], + ) + .unwrap(); + http::Response::builder() + .status(200) + .header(CONTENT_TYPE, ARROW_FILE_CONTENT_TYPE) + .body(write_ipc_file(&data)) + .unwrap() + }); + + table + .query() + .full_text_search(FullTextSearchQuery::new_query( + MatchQuery::new("hello world".to_owned()) + .with_column(Some("payload.text".to_owned())) + .with_document_granularity(DocumentGranularity::Row) + .into(), + )) + .execute() + .await + .unwrap(); + } + + #[rstest] + #[case(DEFAULT_SERVER_VERSION.clone())] + #[case(semver::Version::new(0, 3, 0))] + #[case(semver::Version::new(0, 5, 0))] + #[tokio::test] + async fn test_query_document_granularity_requires_server_support( + #[case] version: semver::Version, + ) { + let table = + Table::new_with_handler_version("my_table", version, |_| -> http::Response { + panic!("unsupported remote query must fail before sending a request") + }); + + let result = table + .query() + .full_text_search(FullTextSearchQuery::new_query( + MatchQuery::new("hello world".to_owned()) + .with_column(Some("payload.text".to_owned())) + .with_document_granularity(DocumentGranularity::ListElement) + .into(), + )) + .execute() + .await; + let err = match result { + Ok(_) => panic!("legacy remote query unexpectedly succeeded"), + Err(err) => err, + }; + + assert!( + err.to_string() + .contains("document granularity requires remote server version 0.6.0 or later") + ); + } + #[rstest] #[case(DEFAULT_SERVER_VERSION.clone())] #[case(semver::Version::new(0, 2, 0))] @@ -5366,40 +6023,56 @@ mod tests { "CAT".to_string(), ]))), ), + ( + "FTS", + { + let mut body = serde_json::to_value(InvertedIndexParams::default()).unwrap(); + body["document_granularity"] = "list_element".into(); + body + }, + Index::FTS( + InvertedIndexParams::default() + .document_granularity(DocumentGranularity::ListElement), + ), + ), ]; for (index_type, expected_body, index) in cases { - let table = Table::new_with_handler("my_table", move |request| { - assert_eq!(request.method(), "POST"); - match request.url().path() { - "/v1/table/my_table/describe/" => { - let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); - http::Response::builder() - .status(200) - .body(describe_response(&schema)) - .unwrap() - } - "/v1/table/my_table/create_index/" => { - assert_eq!( - request.headers().get("Content-Type").unwrap(), - JSON_CONTENT_TYPE - ); - let body = request.body().unwrap().as_bytes().unwrap(); - let body: serde_json::Value = serde_json::from_slice(body).unwrap(); - let mut expected_body = expected_body.clone(); - expected_body["column"] = "a".into(); - expected_body[INDEX_TYPE_KEY] = index_type.into(); + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 6, 0), + move |request| { + assert_eq!(request.method(), "POST"); + match request.url().path() { + "/v1/table/my_table/describe/" => { + let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); + http::Response::builder() + .status(200) + .body(describe_response(&schema)) + .unwrap() + } + "/v1/table/my_table/create_index/" => { + assert_eq!( + request.headers().get("Content-Type").unwrap(), + JSON_CONTENT_TYPE + ); + let body = request.body().unwrap().as_bytes().unwrap(); + let body: serde_json::Value = serde_json::from_slice(body).unwrap(); + let mut expected_body = expected_body.clone(); + expected_body["column"] = "a".into(); + expected_body[INDEX_TYPE_KEY] = index_type.into(); - assert_eq!(body, expected_body); + assert_eq!(body, expected_body); - http::Response::builder() - .status(200) - .body("{}".to_string()) - .unwrap() + http::Response::builder() + .status(200) + .body("{}".to_string()) + .unwrap() + } + path => panic!("Unexpected path: {}", path), } - path => panic!("Unexpected path: {}", path), - } - }); + }, + ); table.create_index(&["a"], index).execute().await.unwrap(); } @@ -5658,6 +6331,19 @@ mod tests { body["index_type"] = "FTS".into(); body }, + { + let mut body = serde_json::to_value(InvertedIndexParams::default()).unwrap(); + body["column"] = "docs.content".into(); + body["index_type"] = "FTS".into(); + body + }, + { + let mut body = serde_json::to_value(InvertedIndexParams::default()).unwrap(); + body["column"] = "docs.content".into(); + body["index_type"] = "FTS".into(); + body["document_granularity"] = "list_element".into(); + body + }, json!({ "column": "`meta-data`.`user-id`", "index_type": "BTREE", @@ -5668,7 +6354,7 @@ mod tests { }), ]); let request_idx = Arc::new(AtomicUsize::new(0)); - let table = Table::new_with_handler("my_table", { + let table = Table::new_with_handler_version("my_table", semver::Version::new(0, 6, 0), { let schema = schema.clone(); let expected_requests = expected_requests.clone(); let request_idx = request_idx.clone(); @@ -5733,6 +6419,22 @@ mod tests { .execute() .await .unwrap(); + table + .create_index(&["Docs.Content"], Index::FTS(Default::default())) + .execute() + .await + .unwrap(); + table + .create_index( + &["Docs.Content"], + Index::FTS( + InvertedIndexParams::default() + .document_granularity(DocumentGranularity::ListElement), + ), + ) + .execute() + .await + .unwrap(); table .create_index(&["`META-DATA`.`USER-ID`"], Index::BTree(Default::default())) .execute() @@ -5747,6 +6449,35 @@ mod tests { assert_eq!(request_idx.load(Ordering::SeqCst), expected_requests.len()); } + #[tokio::test] + async fn test_create_list_element_fts_requires_server_support() { + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + |_| -> http::Response { + panic!("unsupported index creation must fail before sending a request") + }, + ); + + let result = table + .create_index( + &["docs.content"], + Index::FTS( + InvertedIndexParams::default() + .document_granularity(DocumentGranularity::ListElement), + ), + ) + .execute() + .await; + + assert!( + result + .unwrap_err() + .to_string() + .contains("document granularity requires remote server version 0.6.0 or later") + ); + } + #[tokio::test] async fn test_list_indices() { let schema = Schema::new(vec![ @@ -6720,8 +7451,7 @@ mod tests { r#"{ "function":{"name":"embed","version":"fv_01K3EXACT"}, "inputs":[{"parameter":"text","kind":"column","value":{"path":"description"}}], - "output":{"kind":"scalar","arrow_type":"list","nullable":false}, - "group_id":"fg_scalar" + "output":{"kind":"scalar","arrow_type":"list","nullable":false} }"#, ) .unwrap(); @@ -6736,7 +7466,53 @@ mod tests { } #[tokio::test] - async fn test_add_named_struct_function_expands_one_atomic_sibling_group() { + async fn test_add_fixed_size_list_function_column_declares_the_vector_type() { + let table = Table::new_with_handler("my_table", |request| { + match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body( + r#"{"version":1,"schema":{"fields":[{"name":"description","nullable":true,"type":{"type":"string"}}]}}"#, + ) + .unwrap(), + "/v1/table/my_table/add_columns/" => { + let actual: serde_json::Value = serde_json::from_slice( + request.body().unwrap().as_bytes().unwrap(), + ) + .unwrap(); + let expected: serde_json::Value = serde_json::from_str(include_str!( + "../../tests/fixtures/first_class_functions/v1/remote_fixed_size_declaration_request.json" + )) + .unwrap(); + assert_eq!(actual, expected); + http::Response::builder() + .status(200) + .body(r#"{"version":8}"#) + .unwrap() + } + path => panic!("Unexpected path: {path}"), + } + }); + let application = crate::function::FunctionApplication::from_json( + r#"{ + "function":{"name":"embed","version":"fv_01K3EXACT"}, + "inputs":[{"parameter":"text","kind":"column","value":{"path":"description"}}], + "output":{"kind":"scalar","arrow_type":"fixed_size_list","nullable":false} + }"#, + ) + .unwrap(); + + let result = table + .add_columns() + .function_as("embedding", application) + .execute() + .await + .unwrap(); + assert_eq!(result.version, 8); + } + + #[tokio::test] + async fn test_add_named_struct_function_expands_one_atomic_binding() { let table = Table::new_with_handler("my_table", |request| match request.url().path() { "/v1/table/my_table/describe/" => http::Response::builder() .status(200) @@ -6751,7 +7527,7 @@ mod tests { let actual: serde_json::Value = serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap(); let expected: serde_json::Value = serde_json::from_str(include_str!( - "../../tests/fixtures/first_class_functions/v1/remote_grouped_declaration_request.json" + "../../tests/fixtures/first_class_functions/v1/remote_multi_output_declaration_request.json" )) .unwrap(); assert_eq!(actual, expected); @@ -6773,7 +7549,6 @@ mod tests { {"name":"normalized_text","arrow_type":"utf8","nullable":false}, {"name":"token_count","arrow_type":"int64","nullable":false} ]}, - "group_id":"fg_01K3TEXT", "columns":{"normalized_text":"search_text"} }"#, ) @@ -6878,12 +7653,12 @@ mod tests { } /// The gate's reproducer: after a successful wait, a same-handle read - /// must carry a freshness baseline so a stale server cache cannot serve - /// the pre-backfill snapshot. + /// must carry the exact published version so a stale server cache cannot + /// serve the pre-backfill snapshot. #[tokio::test] async fn test_backfill_wait_establishes_read_freshness() { - let saw_min_timestamp = Arc::new(std::sync::atomic::AtomicBool::new(false)); - let saw = saw_min_timestamp.clone(); + let saw_published_version = Arc::new(std::sync::atomic::AtomicBool::new(false)); + let saw = saw_published_version.clone(); let table = Table::new_with_handler("my_table", move |request| match request.url().path() { "/v1/table/my_table/backfill_column" => http::Response::builder() @@ -6892,11 +7667,15 @@ mod tests { .unwrap(), "/v1/jobs/describe" => http::Response::builder() .status(200) - .body(r#"{"job_id": "j-7", "job_state": "DONE"}"#.to_string()) + .body(refresh_done("j-7")) .unwrap(), "/v1/table/my_table/count_rows/" => { saw.store( - request.headers().contains_key("x-lancedb-min-timestamp"), + request + .headers() + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()) + == Some("8"), std::sync::atomic::Ordering::SeqCst, ); http::Response::builder() @@ -6908,11 +7687,13 @@ mod tests { }); let job = table.refresh_column_async("doubled").await.unwrap(); - job.wait().await.unwrap(); + let result = job.wait().await.unwrap(); + assert_eq!(result.rows_assigned, 12); + assert_eq!(result.published_version, Some(8)); table.count_rows(None).await.unwrap(); assert!( - saw_min_timestamp.load(std::sync::atomic::Ordering::SeqCst), - "read after wait carried no freshness baseline" + saw_published_version.load(std::sync::atomic::Ordering::SeqCst), + "read after wait did not carry the published version" ); } @@ -6930,7 +7711,7 @@ mod tests { .unwrap(), "/v1/jobs/describe" => http::Response::builder() .status(200) - .body(r#"{"job_id": "j-8", "job_state": "DONE"}"#.to_string()) + .body(refresh_done("j-8")) .unwrap(), "/v1/table/my_table/describe/" => { let schema = Schema::new(vec![Field::new("x", DataType::Int32, true)]); @@ -6976,7 +7757,7 @@ mod tests { .unwrap(), "/v1/jobs/describe" => http::Response::builder() .status(200) - .body(r#"{"job_id": "j-9", "job_state": "DONE"}"#.to_string()) + .body(refresh_done("j-9")) .unwrap(), "/v1/table/my_table/tags/version/" => http::Response::builder() .status(200) @@ -7040,7 +7821,7 @@ mod tests { } "/v1/jobs/describe" => http::Response::builder() .status(200) - .body(r#"{"job_id": "j-10", "job_state": "DONE"}"#.to_string()) + .body(refresh_done("j-10")) .unwrap(), "/v1/table/my_table/describe/" => { let schema = Schema::new(vec![Field::new("x", DataType::Int32, true)]); @@ -7087,12 +7868,11 @@ mod tests { } /// checkout_latest keeps the handle on latest, so a completed backfill - /// must still establish its post-fill baseline -- strictly later than the - /// checkout's own, or a pre-fill cache could still serve. + /// must retain the checkout timestamp and add its exact published version. #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn test_checkout_latest_during_submission_keeps_the_fence() { - let seen_min_timestamp = Arc::new(std::sync::Mutex::new(None::)); - let saw = seen_min_timestamp.clone(); + let seen_headers = Arc::new(std::sync::Mutex::new(None::)); + let saw = seen_headers.clone(); let (release_tx, release_rx) = std::sync::mpsc::channel::<()>(); let release_rx = Arc::new(std::sync::Mutex::new(release_rx)); let (arrived_tx, arrived_rx) = std::sync::mpsc::channel::<()>(); @@ -7113,13 +7893,10 @@ mod tests { } "/v1/jobs/describe" => http::Response::builder() .status(200) - .body(r#"{"job_id": "j-11", "job_state": "DONE"}"#.to_string()) + .body(refresh_done("j-11")) .unwrap(), "/v1/table/my_table/count_rows/" => { - *saw.lock().unwrap() = request - .headers() - .get("x-lancedb-min-timestamp") - .map(|v| v.to_str().unwrap().to_string()); + *saw.lock().unwrap() = Some(request.headers().clone()); http::Response::builder() .status(200) .body("1".to_string()) @@ -7140,25 +7917,18 @@ mod tests { .await .unwrap(); table.checkout_latest().await.unwrap(); - let after_checkout = SystemTime::now(); - // Real separation between the checkout baseline and completion. - tokio::time::sleep(std::time::Duration::from_millis(50)).await; release_tx.send(()).unwrap(); let job = submit.await.unwrap().unwrap(); job.wait().await.unwrap(); table.count_rows(None).await.unwrap(); - let header = seen_min_timestamp - .lock() - .unwrap() - .clone() - .expect("no baseline"); - let sent: SystemTime = chrono::DateTime::parse_from_rfc3339(&header) - .unwrap() - .into(); - assert!( - sent > after_checkout, - "baseline {header} did not advance past the checkout" + let headers = seen_headers.lock().unwrap().clone().expect("no request"); + assert!(headers.contains_key("x-lancedb-min-timestamp")); + assert_eq!( + headers + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()), + Some("8") ); } @@ -8532,6 +9302,28 @@ mod tests { } } + /// A pinned snapshot should reuse the version and schema returned by its + /// initial describe instead of issuing two more describe requests. + #[tokio::test] + async fn test_checkout_current_seeds_schema_from_single_describe() { + let describe_calls = Arc::new(AtomicUsize::new(0)); + let calls = describe_calls.clone(); + let table = Table::new_with_handler("my_table", move |request| { + assert_eq!(request.url().path(), "/v1/table/my_table/describe/"); + calls.fetch_add(1, Ordering::SeqCst); + http::Response::builder() + .status(200) + .body( + r#"{"version":42,"schema":{"fields":[{"name":"a","type":{"type":"int32"},"nullable":false}]}}"#, + ) + .unwrap() + }); + + let snapshot = table.checkout_current().await.unwrap(); + assert_eq!(snapshot.schema().await.unwrap().fields().len(), 1); + assert_eq!(describe_calls.load(Ordering::SeqCst), 1); + } + /// Test that schema cache is invalidated after checkout #[tokio::test] async fn test_schema_cache_invalidation_on_checkout() { @@ -8594,6 +9386,50 @@ mod tests { assert_ne!(Arc::as_ptr(&schema3), Arc::as_ptr(&schema1)); } + #[tokio::test(flavor = "multi_thread", worker_threads = 2)] + async fn test_schema_fetch_does_not_cross_checkout_generation() { + let (release_tx, release_rx) = std::sync::mpsc::channel::<()>(); + let release_rx = Arc::new(std::sync::Mutex::new(release_rx)); + let (arrived_tx, arrived_rx) = std::sync::mpsc::channel::<()>(); + let arrived_tx = Arc::new(std::sync::Mutex::new(arrived_tx)); + let table = Table::new_with_handler("my_table", move |request| { + let body = request_body_json(&request); + let pinned = body["version"].as_u64() == Some(5); + if !pinned { + arrived_tx.lock().unwrap().send(()).unwrap(); + release_rx + .lock() + .unwrap() + .recv_timeout(Duration::from_secs(10)) + .unwrap(); + } + let field = if pinned { "pinned" } else { "latest" }; + http::Response::builder() + .status(200) + .body(format!( + r#"{{"version":5,"schema":{{"fields":[{{"name":"{field}","type":{{"type":"int32"}},"nullable":false}}]}}}}"# + )) + .unwrap() + }); + + let schema_fetch = tokio::spawn({ + let table = table.clone(); + async move { table.schema().await } + }); + tokio::task::spawn_blocking(move || { + arrived_rx.recv_timeout(Duration::from_secs(10)).unwrap() + }) + .await + .unwrap(); + table.checkout(5).await.unwrap(); + release_tx.send(()).unwrap(); + + let schema = schema_fetch.await.unwrap().unwrap(); + assert!(schema.field_with_name("pinned").is_ok()); + let cached = table.schema().await.unwrap(); + assert!(cached.field_with_name("pinned").is_ok()); + } + /// Test that schema cache is invalidated after checkout_latest #[tokio::test] async fn test_schema_cache_invalidation_on_checkout_latest() { @@ -9828,6 +10664,7 @@ mod tests { min_version: None, checkout_baseline: Some(baseline), min_read_version: None, + ..FreshnessState::default() }; assert_eq!(compute_min_timestamp(&state, None, now), Some(baseline)); @@ -9853,6 +10690,7 @@ mod tests { min_version: None, checkout_baseline: Some(baseline), min_read_version: None, + ..FreshnessState::default() }; assert_eq!( compute_min_timestamp(&state, Some(Duration::from_secs(10)), now), @@ -9865,6 +10703,7 @@ mod tests { min_version: None, checkout_baseline: Some(recent_baseline), min_read_version: None, + ..FreshnessState::default() }; assert_eq!( compute_min_timestamp(&state, Some(Duration::from_secs(60)), now), @@ -9941,6 +10780,110 @@ mod tests { assert!(!headers.contains_key("x-lancedb-min-version")); } + #[tokio::test] + async fn test_checkout_disables_read_consistency_interval() { + let (handler, captured) = capturing_handler(|path| match path { + "/v1/table/my_table/describe/" => r#"{"version":5,"schema":{"fields":[]}}"#.to_string(), + "/v1/table/my_table/count_rows/" => "42".to_string(), + _ => panic!("unexpected path: {}", path), + }); + let table = + Table::new_with_handler_and_interval("my_table", handler, Some(Duration::from_secs(0))); + + table.checkout(5).await.unwrap(); + table.count_rows(None).await.unwrap(); + + let headers = captured.lock().unwrap().clone().unwrap(); + assert!(!headers.contains_key("x-lancedb-min-timestamp")); + assert!(!headers.contains_key("x-lancedb-min-version")); + assert!(!headers.contains_key("x-lancedb-min-read-version")); + } + + #[tokio::test] + async fn test_read_snapshot_keeps_selector_and_freshness_generation_bound() { + let table = RemoteTable::new_mock_with_consistency_interval( + "my_table".to_string(), + |_| { + http::Response::builder() + .status(200) + .body(r#"{"version":5,"schema":{"fields":[]}}"#.to_string()) + .unwrap() + }, + Some(Duration::ZERO), + ); + + let latest = table.snapshot_read_state().await; + table.checkout(5).await.unwrap(); + + let latest_request = latest + .freshness + .apply( + table + .client + .post("/v1/table/my_table/count_rows/") + .json(&serde_json::json!({ "version": latest.version })), + ) + .build() + .unwrap(); + assert!(request_body_json(&latest_request)["version"].is_null()); + assert!(latest_request.headers().contains_key(MIN_TIMESTAMP_HEADER)); + + let pinned = table.snapshot_read_state().await; + let pinned_request = pinned + .freshness + .apply( + table + .client + .post("/v1/table/my_table/count_rows/") + .json(&serde_json::json!({ "version": pinned.version })), + ) + .build() + .unwrap(); + assert_eq!(request_body_json(&pinned_request)["version"], 5); + assert!(!pinned_request.headers().contains_key(MIN_TIMESTAMP_HEADER)); + } + + #[tokio::test(flavor = "multi_thread", worker_threads = 2)] + async fn test_cancelled_checkout_keeps_latest_freshness_enabled() { + let (described_tx, described_rx) = std::sync::mpsc::channel::<()>(); + let table = Arc::new(RemoteTable::new_mock_with_consistency_interval( + "my_table".to_string(), + move |_| { + described_tx.send(()).unwrap(); + http::Response::builder() + .status(200) + .body(r#"{"version":5,"schema":{"fields":[]}}"#.to_string()) + .unwrap() + }, + Some(Duration::from_secs(0)), + )); + + let version_guard = table.version.write().await; + let checkout = tokio::spawn({ + let table = table.clone(); + async move { table.checkout(5).await } + }); + tokio::task::spawn_blocking(move || { + described_rx.recv_timeout(Duration::from_secs(10)).unwrap() + }) + .await + .unwrap(); + for _ in 0..100 { + if table.freshness.lock().unwrap().pinned { + break; + } + tokio::task::yield_now().await; + } + assert!(!checkout.is_finished()); + + checkout.abort(); + assert!(checkout.await.unwrap_err().is_cancelled()); + drop(version_guard); + + assert_eq!(*table.version.read().await, None); + assert!(table.snapshot_freshness_headers().min_timestamp.is_some()); + } + #[tokio::test] async fn test_freshness_positive_interval_sends_now_minus_interval() { let (handler, captured) = capturing_handler(|_| "42".to_string()); @@ -10009,6 +10952,62 @@ mod tests { ); } + #[tokio::test(flavor = "multi_thread", worker_threads = 2)] + async fn test_inflight_write_result_cannot_cross_checkout_generation() { + let (release_tx, release_rx) = std::sync::mpsc::channel::<()>(); + let release_rx = Arc::new(std::sync::Mutex::new(release_rx)); + let (arrived_tx, arrived_rx) = std::sync::mpsc::channel::<()>(); + let arrived_tx = Arc::new(std::sync::Mutex::new(arrived_tx)); + let count_headers = Arc::new(std::sync::Mutex::new(None)); + let captured = count_headers.clone(); + let table = + Table::new_with_handler("my_table", move |request| match request.url().path() { + "/v1/table/my_table/update/" => { + arrived_tx.lock().unwrap().send(()).unwrap(); + release_rx + .lock() + .unwrap() + .recv_timeout(Duration::from_secs(10)) + .unwrap(); + http::Response::builder() + .status(200) + .body(r#"{"rows_updated":1,"version":100}"#.to_string()) + .unwrap() + } + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body(r#"{"version":5,"schema":{"fields":[]}}"#.to_string()) + .unwrap(), + "/v1/table/my_table/count_rows/" => { + *captured.lock().unwrap() = Some(request.headers().clone()); + http::Response::builder() + .status(200) + .body("1".to_string()) + .unwrap() + } + path => panic!("unexpected path: {path}"), + }); + + let update = tokio::spawn({ + let table = table.clone(); + async move { table.update().column("a", "a + 1").execute().await } + }); + tokio::task::spawn_blocking(move || { + arrived_rx.recv_timeout(Duration::from_secs(10)).unwrap() + }) + .await + .unwrap(); + table.checkout(5).await.unwrap(); + release_tx.send(()).unwrap(); + update.await.unwrap().unwrap(); + table.count_rows(None).await.unwrap(); + + let headers = count_headers.lock().unwrap(); + let headers = headers.as_ref().unwrap(); + assert!(!headers.contains_key("x-lancedb-min-version")); + assert!(!headers.contains_key("x-lancedb-min-read-version")); + } + /// A handler that records every request's headers and answers each read with /// an `x-lancedb-version` response header taken from `versions` (by call /// index, saturating at the last entry). An empty string means "no header". @@ -10055,6 +11054,164 @@ mod tests { ); } + #[tokio::test] + async fn test_schema_response_advances_read_watermark() { + let requests = Arc::new(std::sync::Mutex::new(Vec::new())); + let captured = requests.clone(); + let table = Table::new_with_handler("my_table", move |request| { + captured + .lock() + .unwrap() + .push((request.url().path().to_string(), request.headers().clone())); + match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .header("x-lancedb-version", "100") + .body(r#"{"version":100,"schema":{"fields":[]}}"#.to_string()) + .unwrap(), + "/v1/table/my_table/count_rows/" => http::Response::builder() + .status(200) + .body("42".to_string()) + .unwrap(), + path => panic!("unexpected path: {path}"), + } + }); + + table.schema().await.unwrap(); + assert_eq!(table.count_rows(None).await.unwrap(), 42); + + let requests = requests.lock().unwrap(); + let count_headers = &requests[1].1; + assert_eq!( + count_headers + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()), + Some("100") + ); + } + + #[tokio::test(flavor = "multi_thread", worker_threads = 2)] + async fn test_inflight_schema_response_cannot_cross_checkout_generation() { + let (release_tx, release_rx) = std::sync::mpsc::channel::<()>(); + let release_rx = Arc::new(std::sync::Mutex::new(release_rx)); + let (arrived_tx, arrived_rx) = std::sync::mpsc::channel::<()>(); + let arrived_tx = Arc::new(std::sync::Mutex::new(arrived_tx)); + let count_headers = Arc::new(std::sync::Mutex::new(None)); + let captured = count_headers.clone(); + let table = + Table::new_with_handler("my_table", move |request| match request.url().path() { + "/v1/table/my_table/describe/" => { + let body = request_body_json(&request); + if body["version"].is_null() { + arrived_tx.lock().unwrap().send(()).unwrap(); + release_rx + .lock() + .unwrap() + .recv_timeout(Duration::from_secs(10)) + .unwrap(); + http::Response::builder() + .status(200) + .header("x-lancedb-version", "100") + .body(r#"{"version":100,"schema":{"fields":[]}}"#.to_string()) + .unwrap() + } else { + http::Response::builder() + .status(200) + .body(r#"{"version":5,"schema":{"fields":[]}}"#.to_string()) + .unwrap() + } + } + "/v1/table/my_table/count_rows/" => { + *captured.lock().unwrap() = Some(request.headers().clone()); + http::Response::builder() + .status(200) + .body("1".to_string()) + .unwrap() + } + path => panic!("unexpected path: {path}"), + }); + + let schema = tokio::spawn({ + let table = table.clone(); + async move { table.schema().await } + }); + tokio::task::spawn_blocking(move || { + arrived_rx.recv_timeout(Duration::from_secs(10)).unwrap() + }) + .await + .unwrap(); + table.checkout(5).await.unwrap(); + release_tx.send(()).unwrap(); + schema.await.unwrap().unwrap(); + table.count_rows(None).await.unwrap(); + + assert!( + !count_headers + .lock() + .unwrap() + .as_ref() + .unwrap() + .contains_key("x-lancedb-min-read-version") + ); + } + + #[tokio::test] + async fn test_streaming_write_uses_and_advances_read_watermark() { + let data = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])), + vec![Arc::new(Int32Array::from(vec![1, 2, 3]))], + ) + .unwrap(); + let describe_body = serde_json::to_string(&json!({ + "version": 7, + "schema": JsonSchema::try_from(data.schema().as_ref()).unwrap(), + })) + .unwrap(); + let requests = Arc::new(std::sync::Mutex::new(Vec::new())); + let captured = requests.clone(); + let table = Table::new_with_handler("my_table", move |request| { + captured + .lock() + .unwrap() + .push((request.url().path().to_string(), request.headers().clone())); + match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body(describe_body.clone()) + .unwrap(), + "/v1/table/my_table/insert/" => http::Response::builder() + .status(200) + .header("x-lancedb-version", "8") + .body(r#"{"version":8}"#.to_string()) + .unwrap(), + "/v1/table/my_table/count_rows/" => http::Response::builder() + .status(200) + .body("3".to_string()) + .unwrap(), + path => panic!("unexpected path: {path}"), + } + }); + + assert_eq!(table.add(data).execute().await.unwrap().version, 8); + assert_eq!(table.count_rows(None).await.unwrap(), 3); + + let requests = requests.lock().unwrap(); + let insert_headers = &requests[1].1; + assert_eq!( + insert_headers + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()), + Some("7") + ); + let count_headers = &requests[2].1; + assert_eq!( + count_headers + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()), + Some("8") + ); + } + #[tokio::test] async fn test_read_version_watermark_keeps_max() { // Server reports 100 then a stale 50; the watermark must not regress. @@ -10470,6 +11627,86 @@ mod tests { ); } + #[tokio::test] + async fn test_main_only_metadata_is_unfenced_from_branch_timeline() { + let requests = Arc::new(std::sync::Mutex::new(HashMap::new())); + let captured = requests.clone(); + let saw_delete_response_floor = Arc::new(std::sync::atomic::AtomicBool::new(false)); + let saw_high_floor = saw_delete_response_floor.clone(); + let table = RemoteTable::new_mock( + "my_table".to_string(), + move |request| { + let path = request.url().path().to_string(); + captured + .lock() + .unwrap() + .insert(path.clone(), request.headers().clone()); + match path.as_str() { + "/v1/table/my_table/count_rows/" => { + saw_high_floor.store( + request + .headers() + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()) + == Some("100"), + std::sync::atomic::Ordering::SeqCst, + ); + http::Response::builder() + .status(200) + .header("x-lancedb-version", "2") + .body("1".to_string()) + .unwrap() + } + "/v1/table/my_table/tags/list/" => http::Response::builder() + .status(200) + .body("{}".to_string()) + .unwrap(), + "/v1/table/my_table/tags/version/" => http::Response::builder() + .status(200) + .body(r#"{"version":1}"#.to_string()) + .unwrap(), + "/v1/table/my_table/tags/delete/" => http::Response::builder() + .status(200) + .header("x-lancedb-version", "100") + .body("{}".to_string()) + .unwrap(), + "/v1/table/my_table/branches/list/" => http::Response::builder() + .status(200) + .body(r#"{"branches":{}}"#.to_string()) + .unwrap(), + path => panic!("unexpected path: {path}"), + } + }, + None, + ); + let branch = table.with_branch(Some("exp".to_string())); + + branch.count_rows(None).await.unwrap(); + let mut tags = branch.tags().await.unwrap(); + tags.list().await.unwrap(); + tags.get_version("v1").await.unwrap(); + tags.delete("v1").await.unwrap(); + branch.list_branches().await.unwrap(); + branch.count_rows(None).await.unwrap(); + + let requests = requests.lock().unwrap(); + for path in [ + "/v1/table/my_table/tags/list/", + "/v1/table/my_table/tags/version/", + "/v1/table/my_table/tags/delete/", + "/v1/table/my_table/branches/list/", + ] { + assert!( + !requests[path].contains_key("x-lancedb-min-read-version"), + "{path} inherited the branch timeline" + ); + } + assert!( + !saw_delete_response_floor.load(std::sync::atomic::Ordering::SeqCst), + "tag deletion contaminated the branch timeline" + ); + } + #[tokio::test] async fn test_delete_branch() { let table = Table::new_with_handler("my_table", |request| { @@ -10561,6 +11798,50 @@ mod tests { assert!(result.main_version_after.is_none()); } + #[tokio::test] + async fn test_successful_cherry_pick_advances_main_read_watermark() { + let count_headers = Arc::new(std::sync::Mutex::new(None)); + let captured = count_headers.clone(); + let table = + Table::new_with_handler("my_table", move |request| match request.url().path() { + "/v1/table/my_table/branches/cherry_pick/" => { + let response = serde_json::json!({ + "status": "cherryPicked", + "diff": serde_json::from_str::(sample_branch_diff_json()) + .unwrap(), + "preview": { "promotedColumns": ["tag"] }, + "mainVersionAfter": 2 + }); + http::Response::builder() + .status(200) + .body(response.to_string()) + .unwrap() + } + "/v1/table/my_table/count_rows/" => { + *captured.lock().unwrap() = Some(request.headers().clone()); + http::Response::builder() + .status(200) + .body("1".to_string()) + .unwrap() + } + path => panic!("unexpected path: {path}"), + }); + + let result = table.cherry_pick("exp", false).await.unwrap(); + assert_eq!(result.status, crate::table::CherryPickStatus::CherryPicked); + table.count_rows(None).await.unwrap(); + assert_eq!( + count_headers + .lock() + .unwrap() + .as_ref() + .unwrap() + .get("x-lancedb-min-read-version") + .and_then(|value| value.to_str().ok()), + Some("2") + ); + } + #[tokio::test] async fn test_cherry_pick_failed_returns_ok_with_body() { let table = Table::new_with_handler("my_table", |request| { diff --git a/rust/lancedb/src/remote/table/blobs.rs b/rust/lancedb/src/remote/table/blobs.rs index 387d3c6dc..597b41782 100644 --- a/rust/lancedb/src/remote/table/blobs.rs +++ b/rust/lancedb/src/remote/table/blobs.rs @@ -6,6 +6,7 @@ use std::ops::Range; use std::sync::Arc; use std::sync::atomic::{AtomicBool, Ordering}; +use std::time::Duration; use arrow_array::{Array, LargeBinaryArray}; use arrow_schema::DataType; @@ -20,7 +21,7 @@ use crate::error::Result; use crate::remote::client::{HttpSend, RequestResultExt, RestfulLanceDbClient}; use crate::table::BaseTable; -use super::{FreshnessHeaders, RemoteTable}; +use super::{FreshnessHeaders, FreshnessState, RemoteTable, freshness_headers_snapshot}; #[derive(Debug, Clone, Copy)] enum RangeRequestMode { @@ -43,7 +44,10 @@ struct TableBlobRangeRequester { path: String, version: Option, branch: Option, - freshness: FreshnessHeaders, + freshness: Arc>, + parent_freshness: Arc>, + parent_freshness_request: FreshnessHeaders, + read_consistency_interval: Option, } #[async_trait::async_trait] @@ -53,8 +57,9 @@ impl BlobRangeRequester for TableBlobRangeRequester { range_header: &str, mode: RangeRequestMode, ) -> Result<(String, Response)> { - let mut request = self - .freshness + let freshness_request = + freshness_headers_snapshot(&self.freshness, self.read_consistency_interval); + let mut request = freshness_request .apply(self.client.get(&self.path)) .header(header::RANGE, range_header); if let Some(version) = self.version { @@ -71,6 +76,9 @@ impl BlobRangeRequester for TableBlobRangeRequester { return Ok((request_id, response)); } let response = self.client.check_response(&request_id, response).await?; + freshness_request.observe_headers(&self.freshness, response.headers()); + self.parent_freshness_request + .observe_headers(&self.parent_freshness, response.headers()); Ok((request_id, response)) } } @@ -361,18 +369,21 @@ impl RemoteTable { message: "fetch_blobs is not supported on this LanceDB Cloud server".into(), }); } - let version = self.current_version().await; + let read_snapshot = self.snapshot_read_state().await; let mut body = serde_json::json!({ - "version": version, + "version": read_snapshot.version, "column": column, "row_ids": row_ids, }); self.apply_branch_body(&mut body); let request = self - .post_read(&format!("/v1/table/{}/fetch_blobs/", self.identifier)) + .client + .post(&format!("/v1/table/{}/fetch_blobs/", self.identifier)) .json(&body); - let (request_id, response) = self.send(request, true).await?; + let (request_id, response) = self + .send_with_freshness(request, true, read_snapshot.freshness) + .await?; let mut stream = self.read_arrow_response(&request_id, response).await?; let mut blob_chunks: Vec> = Vec::new(); @@ -448,8 +459,7 @@ impl RemoteTable { }); } - let version = self.current_version().await; - let freshness = self.snapshot_freshness_headers(); + let read_snapshot = self.snapshot_read_state().await; let encoded_column = urlencoding::encode(column); let requesters = row_ids .iter() @@ -461,9 +471,12 @@ impl RemoteTable { let requester: Arc = Arc::new(TableBlobRangeRequester { client: self.client.clone(), path, - version, + version: read_snapshot.version, branch: self.branch.clone(), - freshness, + freshness: Arc::new(std::sync::Mutex::new(read_snapshot.freshness_state)), + parent_freshness: self.freshness.clone(), + parent_freshness_request: read_snapshot.freshness, + read_consistency_interval: self.client.read_consistency_interval, }); requester }) @@ -685,6 +698,46 @@ mod tests { assert!(requests.lock().unwrap().contains(&"bytes=5-11".to_string())); } + #[tokio::test] + async fn remote_blob_file_keeps_the_open_timeline_after_parent_checkout() { + let range_requests = Arc::new(StdMutex::new(Vec::new())); + let captured = range_requests.clone(); + let table = RemoteTable::new_mock( + "my_table".to_string(), + move |request| match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body(r#"{"version":5,"schema":{"fields":[]}}"#.as_bytes().to_vec()) + .unwrap(), + "/v1/table/my_table/blob/image/10/bytes" => { + captured.lock().unwrap().push(( + request.url().query().unwrap_or_default().to_string(), + request.headers().clone(), + )); + range_response(&request, PAYLOAD) + } + path => panic!("unexpected path: {path}"), + }, + Some(Version::new(0, 5, 0)), + ); + + table.checkout(5).await.unwrap(); + let file = table + .fetch_blob_files_impl("image", &[10]) + .await + .unwrap() + .pop() + .flatten() + .unwrap(); + table.checkout_latest().await.unwrap(); + file.read_range(5..12).await.unwrap(); + + let requests = range_requests.lock().unwrap(); + let (query, headers) = requests.last().unwrap(); + assert!(query.contains("version=5")); + assert!(!headers.contains_key("x-lancedb-min-timestamp")); + } + #[tokio::test] async fn remote_blob_file_reuses_sequential_response_until_seek() { let requests = Arc::new(StdMutex::new(Vec::new())); diff --git a/rust/lancedb/src/remote/table/insert.rs b/rust/lancedb/src/remote/table/insert.rs index a4a28a9c6..4e0e0d666 100644 --- a/rust/lancedb/src/remote/table/insert.rs +++ b/rust/lancedb/src/remote/table/insert.rs @@ -24,7 +24,10 @@ use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter; use crate::Error; use crate::remote::ARROW_STREAM_CONTENT_TYPE; use crate::remote::client::{HttpSend, RestfulLanceDbClient, Sender}; -use crate::remote::table::{MergeInsertRequest, REQUEST_TIMEOUT_HEADER, RemoteTable}; +use crate::remote::table::{ + FreshnessHeaders, FreshnessState, MergeInsertRequest, REQUEST_TIMEOUT_HEADER, RemoteTable, + freshness_headers_snapshot, +}; use crate::table::datafusion::insert::COUNT_SCHEMA; use crate::table::write_progress::WriteProgressTracker; use crate::table::{AddResult, MergeResult}; @@ -54,6 +57,38 @@ pub enum WriteResult { Merge(MergeResult), } +#[derive(Debug, Clone, Default)] +struct WriteFreshness { + state: Option>>, + read_consistency_interval: Option, +} + +impl WriteFreshness { + fn prepare( + &self, + request: reqwest::RequestBuilder, + ) -> (reqwest::RequestBuilder, Option) { + match &self.state { + Some(state) => { + let freshness_request = + freshness_headers_snapshot(state, self.read_consistency_interval); + (freshness_request.apply(request), Some(freshness_request)) + } + None => (request, None), + } + } + + fn observe( + &self, + freshness_request: Option, + headers: &reqwest::header::HeaderMap, + ) { + if let (Some(state), Some(freshness_request)) = (&self.state, freshness_request) { + freshness_request.observe_headers(state, headers); + } + } +} + /// ExecutionPlan for streaming a write (add or merge_insert) to a remote /// LanceDB table. /// @@ -71,6 +106,7 @@ pub struct RemoteWriteExec { table_name: String, identifier: String, client: RestfulLanceDbClient, + freshness: WriteFreshness, input: Arc, op: WriteOp, properties: Arc, @@ -170,6 +206,7 @@ impl RemoteWriteExec { table_name, identifier, client, + freshness: WriteFreshness::default(), input, op, properties: Arc::new(properties), @@ -183,6 +220,18 @@ impl RemoteWriteExec { } } + pub(super) fn with_freshness( + mut self, + state: Arc>, + read_consistency_interval: Option, + ) -> Self { + self.freshness = WriteFreshness { + state: Some(state), + read_consistency_interval, + }; + self + } + /// Get the add result after execution, if this exec ran an insert. pub fn add_result(&self) -> Option { match self @@ -285,6 +334,7 @@ impl RemoteWriteExec { /// each threading the same handful of arguments. struct PartRequestCtx<'a, S: HttpSend> { client: &'a RestfulLanceDbClient, + freshness: &'a WriteFreshness, identifier: &'a str, table_name: &'a str, upload_id: &'a str, @@ -352,7 +402,11 @@ impl PartRequestCtx<'_, S> { } /// Build the `/insert` request for a single multipart part. - fn build_part_request(&self, part_id: &str, body: reqwest::Body) -> reqwest::RequestBuilder { + fn build_part_request( + &self, + part_id: &str, + body: reqwest::Body, + ) -> (reqwest::RequestBuilder, Option) { let mut request = self .client .post(&format!("/v1/table/{}/insert/", self.identifier)) @@ -368,12 +422,16 @@ impl PartRequestCtx<'_, S> { if let Some(b) = self.branch { request = request.query(&[("branch", b)]); } - request.body(body) + self.freshness.prepare(request.body(body)) } /// Send a single part's request and drain the response, mapping HTTP and /// table-not-found errors into `DataFusionError`. - async fn send_part_request(&self, request: reqwest::RequestBuilder) -> DataFusionResult<()> { + async fn send_part_request( + &self, + request: reqwest::RequestBuilder, + freshness_request: Option, + ) -> DataFusionResult<()> { let (request_id, response) = self .client .send(request) @@ -388,6 +446,8 @@ impl PartRequestCtx<'_, S> { .check_response(&request_id, response) .await .map_err(|e| DataFusionError::External(Box::new(e)))?; + self.freshness + .observe(freshness_request, response.headers()); response.bytes().await.map_err(|e| { DataFusionError::External(Box::new(Error::Http { source: Box::new(e), @@ -419,7 +479,7 @@ impl PartRequestCtx<'_, S> { let body = reqwest::Body::wrap_stream(chunk_rx); let part_id = uuid::Uuid::new_v4().to_string(); - let request = self.build_part_request(&part_id, body); + let (request, freshness_request) = self.build_part_request(&part_id, body); // Measured from just before the request is sent, matching the window the // client read timeout applies to the upload. @@ -495,7 +555,7 @@ impl PartRequestCtx<'_, S> { Ok::(input_ended) }; - let send = self.send_part_request(request); + let send = self.send_part_request(request, freshness_request); // `join!` rather than `tokio::spawn`: the producer borrows `input` (and // `schema`), so it cannot satisfy the `'static` bound a spawned task @@ -569,7 +629,7 @@ impl ExecutionPlan for RemoteWriteExec { // Building a fresh exec (with a new, empty `result`) is what makes the // outer rescannable retry loop work: `reset_state()` clears the captured // result so a re-execution starts clean. - Ok(Arc::new(Self::new_inner( + let mut exec = Self::new_inner( self.table_name.clone(), self.identifier.clone(), self.client.clone(), @@ -580,7 +640,9 @@ impl ExecutionPlan for RemoteWriteExec { self.branch.clone(), self.max_bytes_per_request, self.max_request_duration, - ))) + ); + exec.freshness = self.freshness.clone(); + Ok(Arc::new(exec)) } fn execute( @@ -613,6 +675,7 @@ impl ExecutionPlan for RemoteWriteExec { &self.metrics, )); let client = self.client.clone(); + let freshness = self.freshness.clone(); let identifier = self.identifier.clone(); let op = self.op.clone(); let result_slot = self.result.clone(); @@ -634,6 +697,7 @@ impl ExecutionPlan for RemoteWriteExec { let overwrite = matches!(op, WriteOp::Insert { overwrite: true }); let ctx = PartRequestCtx { client: &client, + freshness: &freshness, identifier: &identifier, table_name: &table_name, upload_id, @@ -688,7 +752,7 @@ impl ExecutionPlan for RemoteWriteExec { let (error_tx, mut error_rx) = tokio::sync::oneshot::channel(); let body = Self::stream_as_http_body(input_stream, error_tx, tracker)?; - let request = request.body(body); + let (request, freshness_request) = freshness.prepare(request.body(body)); let result: DataFusionResult<(String, _)> = async { let (request_id, response) = client @@ -708,6 +772,7 @@ impl ExecutionPlan for RemoteWriteExec { .check_response(&request_id, response) .await .map_err(|e| DataFusionError::External(Box::new(e)))?; + freshness.observe(freshness_request, response.headers()); Ok((request_id, response)) } diff --git a/rust/lancedb/src/table.rs b/rust/lancedb/src/table.rs index c9faf7d42..59a42fc79 100644 --- a/rust/lancedb/src/table.rs +++ b/rust/lancedb/src/table.rs @@ -59,7 +59,9 @@ use crate::index::{IndexConfig, IndexStatisticsImpl, IndexType}; use crate::job::Job; use crate::query::{IntoQueryVector, Query, QueryExecutionOptions, TakeQuery, VectorQuery}; use crate::table::datafusion::insert::InsertExec; -use crate::utils::{PatchReadParam, PatchWriteParam, resolve_arrow_field_path}; +use crate::utils::{ + PatchReadParam, PatchWriteParam, public_fts_field_path_by_id, resolve_arrow_field_path, +}; use self::dataset::DatasetConsistencyWrapper; use self::merge::MergeInsertBuilder; @@ -562,6 +564,13 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { fn id(&self) -> &str; /// Get the arrow [Schema] of the table. async fn schema(&self) -> Result; + /// Create a read-only handle pinned to the table's current active revision. + /// + /// The returned handle is independent from later refreshes or checkouts on + /// this handle. This is used by bindings that must prepare client-side + /// query state from the same revision that the query will execute against. + #[doc(hidden)] + async fn query_snapshot(&self) -> Result>; /// Count the number of rows in this table. async fn count_rows(&self, filter: Option) -> Result; /// Create a physical plan for the query. @@ -753,7 +762,7 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { message: "computed columns are not supported on this table type".into(), }) } - /// Declare one immutable registered-Function output group. + /// Declare one immutable registered-Function binding. async fn add_function_columns( &self, _application: &crate::function::FunctionApplication, @@ -773,7 +782,10 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { } /// Fill a computed column's unfilled rows, returning a [`Job`] tracking /// the operation. - async fn refresh_column_async(&self, _column: &str) -> Result { + async fn refresh_column_async( + &self, + _column: &str, + ) -> Result> { Err(Error::NotSupported { message: "computed columns are supported only on local tables".into(), }) @@ -784,6 +796,12 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { async fn drop_columns(&self, columns: &[&str]) -> Result; /// Get the version of the table. async fn version(&self) -> Result; + /// Return a new table handle pinned to the exact revision currently visible. + async fn checkout_current(&self) -> Result> { + Err(Error::NotSupported { + message: "checkout_current is not supported on this table type".into(), + }) + } /// Checkout a specific version of the table. async fn checkout(&self, version: u64) -> Result<()>; /// Checkout a table version referenced by a tag. @@ -791,6 +809,14 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { async fn checkout_tag(&self, tag: &str) -> Result<()>; /// Checkout the latest version of the table. async fn checkout_latest(&self) -> Result<()>; + /// Return an independent handle pinned to the version currently selected. + /// + /// Backends that can advance between requests should override this for + /// multi-request operations that need snapshot consistency. Backends whose + /// existing handles already provide the desired behavior return `None`. + async fn snapshot_at_current_version(&self) -> Result>> { + Ok(None) + } /// Whether repeated identical scans return rows in the same order. /// /// Callers that assign meaning to a row's position must order the results @@ -1124,13 +1150,26 @@ impl Table { self.inner.schema().await } + /// Create a read-only handle pinned to the current active revision. + #[doc(hidden)] + pub async fn query_snapshot(&self) -> Result { + Ok(Self { + inner: self.inner.query_snapshot().await?, + database: self.database.clone(), + embedding_registry: self.embedding_registry.clone(), + }) + } + /// Count the number of rows in this dataset. /// /// # Arguments /// /// * `filter` if present, only count rows matching the filter pub async fn count_rows(&self, filter: Option) -> Result { - self.inner.count_rows(filter.map(Filter::Sql)).await + let filter = filter + .map(|predicate| crate::expr::canonicalize_sql_predicate(&predicate).map(Filter::Sql)) + .transpose()?; + self.inner.count_rows(filter).await } /// Names of the blob v2 columns in this table, in declaration order. @@ -1330,7 +1369,13 @@ impl Table { /// # }); /// ``` pub async fn delete(&self, predicate: impl Into>) -> Result { - self.inner.delete(predicate.into()).await + match predicate.into() { + Predicate::String(predicate) => { + let predicate = crate::expr::canonicalize_sql_predicate(predicate)?; + self.inner.delete(Predicate::String(&predicate)).await + } + predicate @ Predicate::Expr(_) => self.inner.delete(predicate).await, + } } /// Create an index on the provided column(s). @@ -1710,7 +1755,9 @@ impl Table { /// operation instead of blocking until it completes. /// /// The job may already be complete when returned, and callers must not - /// assume the column is filled until [`Job::wait`] returns. Invalid input + /// assume the column is filled until [`Job::wait`] returns. A successful + /// wait returns the durable [`crate::function::RefreshColumnResult`] for + /// both expression-backed and Function-backed columns. Invalid input /// -- an unknown column, or one that is not computed -- is reported by /// this call rather than by the job. On local tables the job runs as an /// in-process task; on LanceDB Cloud and Enterprise it is the server's @@ -1721,11 +1768,15 @@ impl Table { /// # async fn refresh_in_background(table: &Table) -> Result<(), Box> { /// let job = table.refresh_column_async("doubled").await?; /// println!("refresh running: {:?}", job.status().await?); - /// job.wait().await?; + /// let result = job.wait().await?; + /// println!("assigned {} rows", result.rows_assigned); /// # Ok(()) /// # } /// ``` - pub async fn refresh_column_async(&self, column: impl AsRef) -> Result { + pub async fn refresh_column_async( + &self, + column: impl AsRef, + ) -> Result> { self.inner.refresh_column_async(column.as_ref()).await } @@ -1737,7 +1788,23 @@ impl Table { self.inner.alter_columns(alterations).await } - /// Update per-field metadata (merges by default). + /// Update per-field (column) metadata. + /// + /// Each [`FieldMetadataUpdate`] is merged into the field's existing metadata + /// by default; use [`FieldMetadataUpdate::remove`] to delete a key, or + /// [`FieldMetadataUpdate::replace`] to swap the field's entire metadata map. + /// + /// The following keys are treated specially, by convention, and should be + /// used when appropriate: + /// + /// - `lancedb:description`: for a human-readable description of a field. + /// - `lancedb:tag:`: for a user-defined key-value tag, where the suffix + /// names the tag category; e.g. `lancedb:tag:model: "clip"`. + /// - `lancedb:logical-column`: for a column grouping; e.g. `feature_v1` and + /// `feature_v2` might be in the same logical column. + /// - `lancedb:status`: for status options (`production`, `candidate`, + /// `deprecated`, `archived`) to designate the current life cycle state of + /// this column. pub async fn update_field_metadata( &self, updates: &[FieldMetadataUpdate], @@ -1929,6 +1996,20 @@ impl Table { self.inner.version().await } + /// Return a new table handle pinned to the exact revision currently visible. + /// + /// This is used when asynchronous preparation must remain consistent with + /// the revision used for a later read. + #[doc(hidden)] + pub async fn checkout_current(&self) -> Result { + let inner = self.inner.checkout_current().await?; + Ok(Self { + inner, + database: self.database.clone(), + embedding_registry: self.embedding_registry.clone(), + }) + } + /// Checks out a specific version of the Table /// /// Any read operation on the table will now access the data at the checked out version. @@ -3024,10 +3105,33 @@ impl BaseTable for NativeTable { &self.id } + async fn query_snapshot(&self) -> Result> { + let snapshot = self.dataset.new_query_snapshot().await?; + let mut table = self.with_dataset(snapshot); + // QueryTable requests do not carry a revision. A pinned snapshot must + // execute locally until the namespace API can accept that revision. + table + .pushdown_operations + .remove(&NamespaceClientPushdownOperation::QueryTable); + Ok(Arc::new(table)) + } + async fn version(&self) -> Result { Ok(self.dataset.get().await?.version().version) } + async fn checkout_current(&self) -> Result> { + let current = self.dataset.get().await?; + let dataset = dataset::DatasetConsistencyWrapper::new_time_travel( + current.as_ref().clone(), + self.read_consistency_interval, + ); + Ok(Arc::new(Self { + dataset, + ..self.clone() + })) + } + async fn checkout(&self, version: u64) -> Result<()> { self.dataset.as_time_travel(version).await } @@ -3146,7 +3250,10 @@ impl BaseTable for NativeTable { let dataset = self.dataset.get().await?; match filter { None => Ok(dataset.count_rows(None).await?), - Some(Filter::Sql(sql)) => Ok(dataset.count_rows(Some(sql)).await?), + Some(Filter::Sql(sql)) => { + let sql = crate::expr::canonicalize_sql_predicate(&sql)?; + Ok(dataset.count_rows(Some(sql)).await?) + } Some(Filter::Datafusion(_)) => Err(Error::NotSupported { message: "Datafusion filters are not yet supported".to_string(), }), @@ -3193,7 +3300,7 @@ impl BaseTable for NativeTable { let output = add.into_plan(&table_schema, &table_def)?; - let lance_params = output + let mut lance_params = output .write_options .lance_write_params .unwrap_or(WriteParams { @@ -3203,6 +3310,9 @@ impl BaseTable for NativeTable { }, ..Default::default() }); + if output.allow_external_blob_outside_bases { + lance_params.allow_external_blob_outside_bases = true; + } // Repartition for write parallelism if beneficial. let plan = if num_partitions > 1 { @@ -3427,7 +3537,10 @@ impl BaseTable for NativeTable { Ok(result) } - async fn refresh_column_async(&self, column: &str) -> Result { + async fn refresh_column_async( + &self, + column: &str, + ) -> Result> { refresh::execute_refresh_column_async(self, column).await } @@ -3478,7 +3591,14 @@ impl BaseTable for NativeTable { let field_ids = idx_desc.field_ids(); let mut columns = Vec::with_capacity(field_ids.len()); for field_id in field_ids { - let field_path = match dataset.schema().field_path(*field_id as i32) { + let field_path = match if index_type == crate::index::IndexType::FTS { + public_fts_field_path_by_id(dataset.schema(), *field_id as i32) + } else { + dataset + .schema() + .field_path(*field_id as i32) + .map_err(Into::into) + } { Ok(field_path) => field_path, Err(e) => { log::warn!( @@ -4065,6 +4185,14 @@ mod tests { parent_list_calls: self.parent_list_calls.clone(), }) } + + fn wrap_paginated( + &self, + _store_prefix: &str, + _original: Arc, + ) -> Option> { + None + } } #[tokio::test] @@ -4168,6 +4296,14 @@ mod tests { self.called.store(true, Ordering::Relaxed); original } + + fn wrap_paginated( + &self, + _store_prefix: &str, + original: Arc, + ) -> Option> { + Some(original) + } } #[tokio::test] diff --git a/rust/lancedb/src/table/add_columns.rs b/rust/lancedb/src/table/add_columns.rs index 3b91c30e4..1ac0c6b4f 100644 --- a/rust/lancedb/src/table/add_columns.rs +++ b/rust/lancedb/src/table/add_columns.rs @@ -88,7 +88,7 @@ impl AddColumnsBuilder { } /// Declare every field of a named-struct Function result as one atomic - /// sibling group. Result-field aliases come from + /// binding. Result-field aliases come from /// [`FunctionApplication::columns`](crate::function::FunctionApplication::columns). /// /// ``` diff --git a/rust/lancedb/src/table/add_data.rs b/rust/lancedb/src/table/add_data.rs index 11ba43dd6..15ccf9f66 100644 --- a/rust/lancedb/src/table/add_data.rs +++ b/rust/lancedb/src/table/add_data.rs @@ -60,6 +60,7 @@ pub struct AddDataBuilder { pub(crate) embedding_registry: Option>, pub(crate) progress_callback: Option, pub(crate) write_parallelism: Option, + pub(crate) allow_external_blob_outside_bases: bool, } impl std::fmt::Debug for AddDataBuilder { @@ -87,6 +88,7 @@ impl AddDataBuilder { embedding_registry, progress_callback: None, write_parallelism: None, + allow_external_blob_outside_bases: false, } } @@ -141,6 +143,16 @@ impl AddDataBuilder { self } + /// Store blob URIs that sit outside registered blob bases. + /// + /// The row keeps a reference, so the object has to stay readable. + /// [`crate::table::Table::fetch_blobs`] reads from that location. + /// Defaults to `false`. Local tables only. + pub fn allow_external_blob_outside_bases(mut self, allow: bool) -> Self { + self.allow_external_blob_outside_bases = allow; + self + } + pub async fn execute(self) -> Result { if self.write_parallelism.map(|p| p == 0).unwrap_or(false) { return Err(Error::InvalidInput { @@ -199,6 +211,7 @@ impl AddDataBuilder { write_options: self.write_options, mode: self.mode, tracker, + allow_external_blob_outside_bases: self.allow_external_blob_outside_bases, }) } } @@ -212,6 +225,7 @@ pub struct PreprocessingOutput { pub write_options: WriteOptions, pub mode: AddDataMode, pub tracker: Option>, + pub allow_external_blob_outside_bases: bool, } /// Check that the input schema is valid for insert. diff --git a/rust/lancedb/src/table/computed_columns.rs b/rust/lancedb/src/table/computed_columns.rs index b1c0b8370..2b95cb34c 100644 --- a/rust/lancedb/src/table/computed_columns.rs +++ b/rust/lancedb/src/table/computed_columns.rs @@ -13,7 +13,7 @@ //! self-describing -- both are derived from the expression, so a caller writes //! neither -- while a kind resolved through a registry cannot be typed without //! consulting it. Registered Functions use an exact remote version plus a -//! schema-level grouped binding; unknown newer kinds remain readable and fail +//! schema-level Function binding; unknown newer kinds remain readable and fail //! closed before mutation. //! //! [`computed_columns`] and [`computed_column_from_field`] read declarations @@ -46,16 +46,16 @@ pub const EXPRESSION_META_KEY: &str = "computed_column.expression"; /// Field metadata key holding the column's inputs, as a JSON array of names. pub const INPUTS_META_KEY: &str = "computed_column.inputs"; -/// Field metadata key holding the grouped Function binding identity. +/// Field metadata key holding the Function binding identity. pub const FUNCTION_BINDING_ID_META_KEY: &str = "computed_column.function.binding_id"; /// Field metadata key holding this sibling's ordered Function output ordinal. pub const FUNCTION_OUTPUT_ORDINAL_META_KEY: &str = "computed_column.function.output_ordinal"; -/// Schema metadata key holding all immutable grouped Function bindings. +/// Schema metadata key holding all immutable Function bindings. pub const FUNCTION_BINDINGS_META_KEY: &str = "lancedb::function_bindings"; -/// Version of the schema-level grouped Function binding envelope. +/// Version of the schema-level Function binding envelope. pub const FUNCTION_BINDINGS_VERSION: u32 = 1; /// Value of [`KIND_META_KEY`] for a column defined by a SQL expression. @@ -81,7 +81,7 @@ pub enum ComputedColumnKind { /// The expression. expression: String, }, - /// One physical output in an immutable grouped registered-Function + /// One physical output in an immutable registered-Function /// binding. The full binding lives in schema metadata. Function { /// Shared immutable binding identity. @@ -159,7 +159,7 @@ struct FunctionBindingEnvelope { bindings: Vec, } -/// Encode immutable grouped bindings for schema-level persistence. +/// Encode immutable Function bindings for schema-level persistence. pub fn function_bindings_metadata(bindings: &[FunctionBinding]) -> Result { let bindings = bindings .iter() @@ -177,7 +177,7 @@ pub fn function_bindings_metadata(bindings: &[FunctionBinding]) -> Result Result> { let Some(envelope) = function_binding_envelope(schema)? else { @@ -238,21 +238,15 @@ pub(crate) fn ensure_supported_function_metadata(schema: &ArrowSchema) -> Result message: format!("duplicate Function binding '{}'", binding.binding_id()), }); } - if binding.revision() == 0 || binding.outputs().is_empty() { + if binding.outputs().is_empty() { return Err(Error::InvalidInput { - message: format!( - "Function binding '{}' has no immutable revision or outputs", - binding.binding_id() - ), + message: format!("Function binding '{}' has no outputs", binding.binding_id()), }); } - if binding.function().name.is_empty() - || binding.function().version.is_empty() - || binding.group_id().is_empty() - { + if binding.function().name.is_empty() || binding.function().version.is_empty() { return Err(Error::InvalidInput { message: format!( - "Function binding '{}' has no exact version or group identity", + "Function binding '{}' has no exact version", binding.binding_id() ), }); @@ -493,9 +487,7 @@ fn ensure_known_binding_shape(value: &Value) -> Result<()> { value, &[ "binding_id", - "revision", "function", - "group_id", "inputs", "outputs", "input_schema", @@ -586,6 +578,25 @@ fn canonical_input_arrow_type(field: &JsonArrowField) -> Result { } } +/// `fixed_size_list` -> (`item`, `size`); the comma must sit outside +/// any nested `<...>`. +fn split_fixed_size_list(raw: &str) -> Option<(&str, i32)> { + let inner = raw.strip_prefix("fixed_size_list<")?.strip_suffix('>')?; + let mut depth = 0_u32; + let mut separator = None; + for (index, byte) in inner.bytes().enumerate() { + match byte { + b'<' => depth += 1, + b'>' => depth = depth.checked_sub(1)?, + b',' if depth == 0 => separator = Some(index), + _ => {} + } + } + let (item, size) = inner.split_at(separator?); + let size: i32 = size[1..].trim().parse().ok()?; + (size > 0).then_some((item.trim(), size)) +} + fn parse_output_arrow_type(raw: &str) -> Result { fn parse(raw: &str) -> Result { let raw = raw.trim(); @@ -618,6 +629,16 @@ fn parse_output_arrow_type(raw: &str) -> Result { )]); return Ok(data_type); } + if let Some((inner, size)) = split_fixed_size_list(raw) { + let mut data_type = JsonArrowDataType::new("fixed_size_list".to_string()); + data_type.fields = Some(vec![JsonArrowField::new( + "item".to_string(), + false, + parse(inner)?, + )]); + data_type.length = Some(i64::from(size)); + return Ok(data_type); + } let normalized = match raw { "boolean" => "bool", "string" => "utf8", @@ -757,12 +778,9 @@ pub(crate) fn plan_function_application( message: "Function application contains fields from a newer contract".into(), }); } - if application.function().name.is_empty() - || application.function().version.is_empty() - || application.group_id().is_empty() - { + if application.function().name.is_empty() || application.function().version.is_empty() { return Err(invalid_function( - "Function application requires an exact version and group identity", + "Function application requires an exact version", )); } @@ -1322,6 +1340,32 @@ pub(super) async fn add_foreign_kind(table: &crate::Table, name: &str, kind: &st #[cfg(test)] mod tests { + #[test] + fn output_arrow_type_grammar_matches_the_shared_golden() { + let golden: serde_json::Value = serde_json::from_str(include_str!( + "../../tests/fixtures/first_class_functions/v1/arrow_types.json" + )) + .unwrap(); + let valid = golden["valid"].as_array().unwrap().iter(); + for case in valid.chain(golden["server_only"].as_array().unwrap()) { + let raw = case["arrow_type"].as_str().unwrap(); + let parsed = super::parse_output_arrow_type(raw) + .unwrap_or_else(|error| panic!("{raw}: {error}")); + assert_eq!( + serde_json::to_value(&parsed).unwrap(), + case["json"], + "{raw}" + ); + } + for raw in golden["invalid"].as_array().unwrap() { + let raw = raw.as_str().unwrap(); + assert!( + super::parse_output_arrow_type(raw).is_err(), + "{raw:?} should be rejected" + ); + } + } + use arrow_array::record_batch; use arrow_schema::DataType; use futures::TryStreamExt; @@ -2206,7 +2250,6 @@ mod tests { {{"name":"normalized_text","arrow_type":"utf8","nullable":false}}, {{"name":"token_count","arrow_type":"int64","nullable":false}} ]}}, - "group_id":"fg_exact", "columns":{columns} }}"# )) @@ -2387,8 +2430,7 @@ mod tests { r#"{ "function":{"name":"f","version":"fv"}, "inputs":[{"parameter":"title","kind":"future_source","value":{"path":"title"}}], - "output":{"kind":"scalar","arrow_type":"int64","nullable":false}, - "group_id":"fg" + "output":{"kind":"scalar","arrow_type":"int64","nullable":false} }"#, ) .unwrap(); @@ -2401,7 +2443,6 @@ mod tests { "function":{"name":"f","version":"fv"}, "inputs":[], "output":{"kind":"scalar","arrow_type":"int64","nullable":false}, - "group_id":"fg", "future_declaration":{"mode":"managed"} }"#, ) @@ -2415,8 +2456,7 @@ mod tests { r#"{ "function":{"name":"f","version":"fv"}, "inputs":[], - "output":{"kind":"scalar","arrow_type":"int64","nullable":false,"assignment":"cell_flag"}, - "group_id":"fg" + "output":{"kind":"scalar","arrow_type":"int64","nullable":false,"assignment":"cell_flag"} }"#, ) .unwrap(); diff --git a/rust/lancedb/src/table/create_index.rs b/rust/lancedb/src/table/create_index.rs index e373522bc..c7d6b5675 100644 --- a/rust/lancedb/src/table/create_index.rs +++ b/rust/lancedb/src/table/create_index.rs @@ -28,8 +28,9 @@ pub(super) type PreparedIndex = (String, Box, Ind use crate::index::Index; use crate::index::vector::{VectorIndex, suggested_num_sub_vectors}; use crate::utils::{ - supported_bitmap_data_type, supported_btree_data_type, supported_fm_data_type, - supported_fts_data_type, supported_label_list_data_type, supported_vector_data_type, + resolve_lance_fts_field_path, supported_bitmap_data_type, supported_btree_data_type, + supported_fm_data_type, supported_fts_data_type, supported_label_list_data_type, + supported_vector_data_type, }; use super::NativeTable; @@ -122,7 +123,20 @@ impl NativeTable { } self.dataset.ensure_mutable()?; let dataset = self.dataset.get().await?; - let (column, field) = Self::resolve_index_field(dataset.schema(), &opts.columns[0])?; + let (column, field) = if let Index::FTS(params) = &opts.index { + let resolved = resolve_lance_fts_field_path(dataset.schema(), &opts.columns[0])?; + if params.get_document_granularity().is_list_element() && resolved.list_depth == 0 { + return Err(Error::InvalidInput { + message: format!( + "FTS field path '{}' has no List layer and cannot use ListElement document granularity", + resolved.canonical_path + ), + }); + } + (resolved.canonical_path, resolved.field) + } else { + Self::resolve_index_field(dataset.schema(), &opts.columns[0])? + }; let params = self.make_index_params(&field, opts.index.clone()).await?; let index_type = self.get_index_type_for_field(&field, &opts.index); Ok((column, params, index_type)) @@ -436,7 +450,7 @@ mod tests { use crate::connection::ConnectBuilder; use crate::index::Index; use crate::index::scalar::{ - BTreeIndexBuilder, BitmapIndexBuilder, FmIndexBuilder, FtsIndexBuilder, + BTreeIndexBuilder, BitmapIndexBuilder, DocumentGranularity, FmIndexBuilder, FtsIndexBuilder, }; use crate::index::vector::{ IvfHnswFlatIndexBuilder, IvfHnswPqIndexBuilder, IvfHnswSqIndexBuilder, @@ -553,6 +567,38 @@ mod tests { job.cancel().await.unwrap(); } + #[tokio::test] + async fn test_execute_async_validates_fts_input_before_starting_job() { + let conn = connect("memory://").execute().await.unwrap(); + let batch = + record_batch!(("id", Int32, [1, 2]), ("text", Utf8, ["alpha", "beta"])).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + + let missing = table + .create_index(&["missing"], Index::FTS(FtsIndexBuilder::default())) + .execute_async() + .await; + assert!(missing.is_err()); + + let invalid_type = table + .create_index(&["id"], Index::FTS(FtsIndexBuilder::default())) + .execute_async() + .await; + assert!(invalid_type.is_err()); + + let invalid_granularity = table + .create_index( + &["text"], + Index::FTS( + FtsIndexBuilder::default() + .document_granularity(DocumentGranularity::ListElement), + ), + ) + .execute_async() + .await; + assert!(invalid_granularity.is_err()); + } + /// Concurrent waiters, and a wait issued after the job settled, all /// succeed once the build does. #[tokio::test] diff --git a/rust/lancedb/src/table/datafusion/blob_coerce.rs b/rust/lancedb/src/table/datafusion/blob_coerce.rs index b29b2423b..cb984f7f4 100644 --- a/rust/lancedb/src/table/datafusion/blob_coerce.rs +++ b/rust/lancedb/src/table/datafusion/blob_coerce.rs @@ -7,7 +7,7 @@ use std::sync::Arc; -use arrow_schema::{DataType, Field, FieldRef}; +use arrow_schema::{DataType, Field, FieldRef, Fields}; use datafusion::functions::core::{get_field, named_struct}; use datafusion_common::ScalarValue; use datafusion_common::config::ConfigOptions; @@ -35,8 +35,9 @@ pub(super) fn coerce_blob_expr( }); }; - let input_struct_children = match input_field.data_type() { - DataType::Binary | DataType::LargeBinary | DataType::BinaryView => None, + let input_shape = match input_field.data_type() { + DataType::Binary | DataType::LargeBinary | DataType::BinaryView => BlobInputShape::Bytes, + DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => BlobInputShape::String, DataType::Struct(children) => { if !children .iter() @@ -49,13 +50,15 @@ pub(super) fn coerce_blob_expr( ), }); } - Some(children) + BlobInputShape::Struct(children) } other => { return Err(Error::InvalidInput { message: format!( "cannot coerce column '{}' with type {} into a blob v2 struct. \ - expected Binary, LargeBinary, BinaryView, or a Struct with a 'data' or 'uri' child", + expected binary bytes (Binary, LargeBinary, BinaryView), \ + strings (Utf8, LargeUtf8, Utf8View), \ + or a Struct with a 'data' or 'uri' child", table_field.name(), other, ), @@ -69,9 +72,8 @@ pub(super) fn coerce_blob_expr( declared.name().as_str(), )))); - let value: Arc = match input_struct_children { - // Raw binary lands in `data` and everything else is a typed null. - None => { + let value: Arc = match &input_shape { + BlobInputShape::Bytes => { if declared.name() == "data" { Arc::new(CastExpr::new( input_expr.clone(), @@ -82,30 +84,43 @@ pub(super) fn coerce_blob_expr( typed_null(declared.data_type())? } } - Some(children) => match children.iter().find(|c| c.name() == declared.name()) { - Some(child) => { - let field_expr: Arc = Arc::new(ScalarFunctionExpr::new( - &format!("get_field({})", declared.name()), - get_field(), - vec![ - input_expr.clone(), - Arc::new(Literal::new(ScalarValue::from(declared.name().as_str()))), - ], - Arc::new(child.as_ref().clone()), - config.clone(), - )); - if child.data_type() == declared.data_type() { - field_expr - } else { - Arc::new(CastExpr::new( - field_expr, - declared.data_type().clone(), - None, - )) - } + BlobInputShape::String => { + if declared.name() == "uri" { + Arc::new(CastExpr::new( + input_expr.clone(), + declared.data_type().clone(), + None, + )) + } else { + typed_null(declared.data_type())? } - None => typed_null(declared.data_type())?, - }, + } + BlobInputShape::Struct(children) => { + match children.iter().find(|c| c.name() == declared.name()) { + Some(child) => { + let field_expr: Arc = Arc::new(ScalarFunctionExpr::new( + &format!("get_field({})", declared.name()), + get_field(), + vec![ + input_expr.clone(), + Arc::new(Literal::new(ScalarValue::from(declared.name().as_str()))), + ], + Arc::new(child.as_ref().clone()), + config.clone(), + )); + if child.data_type() == declared.data_type() { + field_expr + } else { + Arc::new(CastExpr::new( + field_expr, + declared.data_type().clone(), + None, + )) + } + } + None => typed_null(declared.data_type())?, + } + } }; ns_args.push(value); } @@ -120,6 +135,12 @@ pub(super) fn coerce_blob_expr( Ok((expr, table_field.clone())) } +enum BlobInputShape<'a> { + Bytes, + String, + Struct(&'a Fields), +} + fn typed_null(data_type: &DataType) -> Result> { let scalar = ScalarValue::try_from(data_type).map_err(|e| Error::InvalidInput { message: format!("cannot build null literal for blob child type {data_type}: {e}"), @@ -134,7 +155,7 @@ mod tests { use crate::blob::blob; use arrow_array::{ Array, ArrayRef, BinaryArray, BinaryViewArray, Int32Array, Int64Array, LargeBinaryArray, - RecordBatch, StringArray, StructArray, UInt8Array, UInt64Array, + RecordBatch, StringArray, StringViewArray, StructArray, UInt8Array, UInt64Array, }; use arrow_schema::Schema; use datafusion::prelude::SessionContext; @@ -436,14 +457,78 @@ mod tests { #[tokio::test] async fn unsupported_input_type_is_rejected_with_column_name() { let batch = batch_with_image( - Field::new("image", DataType::Utf8, true), - Arc::new(StringArray::from(vec!["not bytes"])), + Field::new("image", DataType::Int64, true), + Arc::new(Int64Array::from(vec![42])), ); let err = coerce_err(batch, &blob_table_schema()).await; assert!(matches!(err, Error::InvalidInput { .. }), "got {err:?}"); assert!(err.to_string().contains("image")); } + #[tokio::test] + async fn utf8_string_coerces_to_uri_child() { + let batch = batch_with_image( + Field::new("image", DataType::Utf8, true), + Arc::new(StringArray::from(vec![Some("s3://bucket/key"), None])), + ); + let coerced = coerce(batch, &blob_table_schema()).await; + let image = image_struct(&coerced); + let uri: &StringArray = image + .column_by_name("uri") + .unwrap() + .as_any() + .downcast_ref() + .unwrap(); + assert_eq!(uri.value(0), "s3://bucket/key"); + assert!(image.column_by_name("data").unwrap().is_null(0)); + assert!(uri.is_null(1)); + } + + #[tokio::test] + async fn large_utf8_string_coerces_into_four_child_blob_layout() { + use arrow_array::LargeStringArray; + + let table_schema = Schema::new(vec![ + Field::new("id", DataType::Int64, false), + wide_blob_field("image"), + ]); + let batch = batch_with_image( + Field::new("image", DataType::LargeUtf8, true), + Arc::new(LargeStringArray::from(vec!["file:///tmp/blob.bin"])), + ); + let coerced = coerce(batch, &table_schema).await; + let image = image_struct(&coerced); + assert_eq!(image.num_columns(), 4); + let uri: &StringArray = image + .column_by_name("uri") + .unwrap() + .as_any() + .downcast_ref() + .unwrap(); + assert_eq!(uri.value(0), "file:///tmp/blob.bin"); + assert!(image.column_by_name("data").unwrap().is_null(0)); + assert!(image.column_by_name("position").unwrap().is_null(0)); + assert!(image.column_by_name("size").unwrap().is_null(0)); + } + + #[tokio::test] + async fn utf8_view_string_coerces_to_uri_child() { + let batch = batch_with_image( + Field::new("image", DataType::Utf8View, true), + Arc::new(StringViewArray::from(vec![Some("s3://bucket/view-key")])), + ); + let coerced = coerce(batch, &blob_table_schema()).await; + let image = image_struct(&coerced); + let uri: &StringArray = image + .column_by_name("uri") + .unwrap() + .as_any() + .downcast_ref() + .unwrap(); + assert_eq!(uri.value(0), "s3://bucket/view-key"); + assert!(image.column_by_name("data").unwrap().is_null(0)); + } + #[tokio::test] async fn blob_metadata_survives_cast_of_sibling_column() { let batch = RecordBatch::try_new( diff --git a/rust/lancedb/src/table/dataset.rs b/rust/lancedb/src/table/dataset.rs index e37c3fc9f..5e3733b85 100644 --- a/rust/lancedb/src/table/dataset.rs +++ b/rust/lancedb/src/table/dataset.rs @@ -32,6 +32,10 @@ struct DatasetState { /// `Some(version)` = pinned to a specific version (time travel), /// `None` = tracking latest. pinned_version: Option, + /// Whether the pin is an internal query snapshot rather than user-visible + /// time travel. Query snapshots remain read-only but preserve MemWAL read + /// semantics. + query_snapshot: bool, } #[derive(Debug, Clone)] @@ -70,6 +74,7 @@ impl DatasetConsistencyWrapper { state: Arc::new(Mutex::new(DatasetState { dataset, pinned_version: None, + query_snapshot: false, })), consistency, shard_writer: Arc::new(ShardWriterCache::default()), @@ -93,6 +98,36 @@ impl DatasetConsistencyWrapper { wrapper } + /// Create an independent read-only wrapper pinned to the current dataset + /// while retaining this wrapper's live MemWAL read context. + pub async fn new_query_snapshot(&self) -> Result { + // Apply the configured consistency policy before taking the snapshot. + // The returned dataset is intentionally discarded: a checkout may race + // after this await, so the dataset and its pin provenance must instead + // be cloned together from one authoritative state sample below. + self.get().await?; + + let (dataset, query_snapshot) = { + let state = self.state.lock()?; + // Preserve user time travel so the MemWAL safety guard still sees + // it. Latest and already-internal snapshots remain internal pins. + ( + state.dataset.clone(), + state.query_snapshot || state.pinned_version.is_none(), + ) + }; + let version = dataset.version().version; + Ok(Self { + state: Arc::new(Mutex::new(DatasetState { + dataset, + pinned_version: Some(version), + query_snapshot, + })), + consistency: ConsistencyMode::Lazy, + shard_writer: self.shard_writer.clone(), + }) + } + /// The MemWAL `ShardWriter` cache co-located with this dataset. pub(crate) fn shard_writer(&self) -> &Arc { &self.shard_writer @@ -169,6 +204,7 @@ impl DatasetConsistencyWrapper { let mut state = self.state.lock()?; state.dataset = Arc::new(new_dataset); state.pinned_version = None; + state.query_snapshot = false; drop(state); if let ConsistencyMode::Eventual(bg_cache) = &self.consistency { bg_cache.invalidate(); @@ -202,10 +238,10 @@ impl DatasetConsistencyWrapper { /// Returns the version, if in time travel mode, or None otherwise. pub fn time_travel_version(&self) -> Option { - self.state - .lock() - .unwrap_or_else(|e| e.into_inner()) - .pinned_version + let state = self.state.lock().unwrap_or_else(|e| e.into_inner()); + (!state.query_snapshot) + .then_some(state.pinned_version) + .flatten() } /// Convert into a wrapper in latest version mode. @@ -225,6 +261,7 @@ impl DatasetConsistencyWrapper { if state.pinned_version.is_some() { state.dataset = Arc::new(new_dataset); state.pinned_version = None; + state.query_snapshot = false; } drop(state); if let ConsistencyMode::Eventual(bg_cache) = &self.consistency { @@ -260,6 +297,7 @@ impl DatasetConsistencyWrapper { let mut state = self.state.lock()?; state.dataset = Arc::new(new_dataset); state.pinned_version = Some(version_value); + state.query_snapshot = false; Ok(()) } @@ -461,6 +499,29 @@ mod tests { assert_eq!(wrapper.time_travel_version(), Some(1)); } + #[tokio::test] + async fn test_query_snapshot_samples_dataset_and_pin_together() { + let dir = tempfile::tempdir().unwrap(); + let uri = dir.path().to_str().unwrap(); + let ds = create_test_dataset(uri).await; + + let wrapper = DatasetConsistencyWrapper::new_latest(ds, None); + wrapper.as_time_travel(1u64).await.unwrap(); + let stale_time_travel_dataset = wrapper.get().await.unwrap(); + + append_to_dataset(uri).await; + wrapper.as_latest().await.unwrap(); + + let snapshot = wrapper.new_query_snapshot().await.unwrap(); + let snapshot_dataset = snapshot.get().await.unwrap(); + assert_eq!(snapshot_dataset.version().version, 2); + assert_ne!( + snapshot_dataset.version().version, + stale_time_travel_dataset.version().version + ); + assert_eq!(snapshot.time_travel_version(), None); + } + #[tokio::test] async fn test_as_latest_from_time_travel() { let dir = tempfile::tempdir().unwrap(); diff --git a/rust/lancedb/src/table/delete.rs b/rust/lancedb/src/table/delete.rs index 8f11ee019..cb1da03ae 100644 --- a/rust/lancedb/src/table/delete.rs +++ b/rust/lancedb/src/table/delete.rs @@ -31,8 +31,9 @@ pub(crate) async fn execute_delete( table.dataset.ensure_mutable()?; match predicate { Predicate::String(s) => { + let predicate = crate::expr::canonicalize_sql_predicate(s)?; let mut dataset = (*table.dataset.get().await?).clone(); - let delete_result = dataset.delete(s).boxed().await?; + let delete_result = dataset.delete(&predicate).boxed().await?; let num_deleted_rows = delete_result.num_deleted_rows; let version = dataset.version().version; table.dataset.update(dataset); diff --git a/rust/lancedb/src/table/merge.rs b/rust/lancedb/src/table/merge.rs index b9dd5732b..ef2af8fe0 100644 --- a/rust/lancedb/src/table/merge.rs +++ b/rust/lancedb/src/table/merge.rs @@ -220,9 +220,32 @@ impl MergeInsertBuilder { /// /// Returns version and statistics about the merge operation including the number of rows /// inserted, updated, and deleted. - pub async fn execute(self, new_data: Box) -> Result { + pub async fn execute( + mut self, + new_data: Box, + ) -> Result { + self.canonicalize_filters()?; self.table.clone().merge_insert(self, new_data).await } + + pub(crate) fn canonicalize_filters(&mut self) -> Result<()> { + self.when_matched_update_all_filt = + canonicalize_merge_filter(self.when_matched_update_all_filt.take())?; + self.when_not_matched_by_source_delete_filt = + canonicalize_merge_filter(self.when_not_matched_by_source_delete_filt.take())?; + Ok(()) + } +} + +fn canonicalize_merge_filter(filter: Option) -> Result> { + filter + .map(|filter| match filter { + MergeFilter::Sql(predicate) => { + crate::expr::canonicalize_sql_predicate(&predicate).map(MergeFilter::Sql) + } + filter @ MergeFilter::Expr(_) => Ok(filter), + }) + .transpose() } /// Internal implementation of the merge insert logic @@ -230,9 +253,10 @@ impl MergeInsertBuilder { /// This logic was moved from NativeTable::merge_insert to keep table.rs clean. pub(crate) async fn execute_merge_insert( table: &NativeTable, - params: MergeInsertBuilder, + mut params: MergeInsertBuilder, new_data: Box, ) -> Result { + params.canonicalize_filters()?; super::computed_columns::ensure_no_function_bindings_for_mutation( table.schema().await?.as_ref(), "merge_insert", @@ -1056,6 +1080,44 @@ mod lsm_tests { ); } + #[tokio::test] + async fn query_snapshot_preserves_lsm_read_semantics() { + let dir = tempdir().unwrap(); + let table = id_value_table(&dir).await; + table + .set_lsm_write_spec(LsmWriteSpec::unsharded()) + .await + .unwrap(); + lsm_upsert(&table, vec![4, 5]).await; + + let snapshot = table.query_snapshot().await.unwrap(); + let rows = collect_id_value(snapshot.query().execute().await.unwrap()).await; + assert_eq!( + rows.iter().map(|(id, _)| *id).collect::>(), + vec![1, 2, 3, 4, 5] + ); + } + + #[tokio::test] + async fn query_snapshot_preserves_time_travel_lsm_guard() { + let dir = tempdir().unwrap(); + let table = id_value_table(&dir).await; + table + .set_lsm_write_spec(LsmWriteSpec::unsharded()) + .await + .unwrap(); + lsm_upsert(&table, vec![4]).await; + + let version = table.version().await.unwrap(); + table.checkout(version).await.unwrap(); + let direct_error = table.query().execute().await.err().unwrap(); + assert!(matches!(direct_error, Error::NotSupported { .. })); + + let snapshot = table.query_snapshot().await.unwrap(); + let snapshot_error = snapshot.query().execute().await.err().unwrap(); + assert!(matches!(snapshot_error, Error::NotSupported { .. })); + } + #[tokio::test] async fn lsm_read_dedup_newest_wins() { let dir = tempdir().unwrap(); diff --git a/rust/lancedb/src/table/query.rs b/rust/lancedb/src/table/query.rs index 9feb9d5ab..6f6bbf372 100644 --- a/rust/lancedb/src/table/query.rs +++ b/rust/lancedb/src/table/query.rs @@ -17,11 +17,11 @@ use arrow::array::{AsArray, FixedSizeListBuilder, Float32Builder}; use arrow::datatypes::{Float32Type, UInt8Type}; use arrow_array::Array; use arrow_schema::{DataType, Schema}; +use datafusion_common::{Column, DataFusionError, SchemaError}; use datafusion_physical_plan::ExecutionPlan; use datafusion_physical_plan::projection::ProjectionExec; use datafusion_physical_plan::repartition::RepartitionExec; use datafusion_physical_plan::union::UnionExec; -use futures::future::try_join_all; use lance::dataset::mem_wal::DatasetMemWalExt; use lance::dataset::scanner::DatasetRecordBatchStream; use lance::dataset::scanner::Scanner; @@ -45,6 +45,22 @@ impl AnyQuery { Self::VectorQuery(query) => &query.base, } } + + fn base_mut(&mut self) -> &mut QueryRequest { + match self { + Self::Query(query) => query, + Self::VectorQuery(query) => &mut query.base, + } + } + + /// Canonicalize any raw SQL filter immediately before backend dispatch. + pub(crate) fn canonicalized(&self) -> Result { + let mut query = self.clone(); + if let Some(QueryFilter::Sql(predicate)) = &mut query.base_mut().filter { + *predicate = crate::expr::canonicalize_sql_predicate(predicate)?; + } + Ok(query) + } } //Decide between namespace or local @@ -53,15 +69,16 @@ pub async fn execute_query( query: &AnyQuery, options: QueryExecutionOptions, ) -> Result { + let query = query.canonicalized()?; // QueryTable pushdown runs the query server-side, but only on the main // branch: the namespace request carries no branch yet, so a branch handle // must fall through to local execution. - if can_execute_namespace_query(table, query).await? + if can_execute_namespace_query(table, &query).await? && let Some(ref namespace_client) = table.namespace_client { - return execute_namespace_query(table, namespace_client.clone(), query, options).await; + return execute_namespace_query(table, namespace_client.clone(), &query, options).await; } - execute_generic_query(table, query, options).await + execute_generic_query(table, &query, options).await } async fn can_execute_namespace_query(table: &NativeTable, query: &AnyQuery) -> Result { @@ -70,6 +87,9 @@ async fn can_execute_namespace_query(table: &NativeTable, query: &AnyQuery) -> R .contains(&NamespaceClientPushdownOperation::QueryTable) && table.namespace_client.is_some() && table.dataset.current_branch().is_none() + // NsQueryTableRequest has no version field, so a pushed-down query would + // read latest and ignore the pin. + && table.dataset.time_travel_version().is_none() && !requires_local_namespace_execution(query)) { return Ok(false); @@ -133,9 +153,10 @@ pub async fn create_plan( query: &AnyQuery, options: QueryExecutionOptions, ) -> Result> { + let query = query.canonicalized()?; let query = match query { - AnyQuery::VectorQuery(query) => query.clone(), - AnyQuery::Query(query) => VectorQueryRequest::from_plain_query(query.clone()), + AnyQuery::VectorQuery(query) => query, + AnyQuery::Query(query) => VectorQueryRequest::from_plain_query(query), }; query.base.check_filter()?; @@ -167,26 +188,48 @@ pub async fn create_plan( let mut column = query.column.clone(); let mut query_vector = query.query_vector.first().cloned(); + let mut is_batch_query = false; if query.query_vector.len() > 1 { if column.is_none() { // Infer a vector column with the same dimension of the query vector. - let arrow_schema = Schema::from(ds_ref.schema()); + let arrow_schema = Schema::from(schema); column = Some(default_vector_column( &arrow_schema, Some(query.query_vector[0].len() as i32), )?); } let vector_field = schema.field(column.as_ref().unwrap()).unwrap(); - if let DataType::List(_) = vector_field.data_type() { - // Multivector handling: concatenate into FixedSizeList> + let (_, element_type) = + lance::index::vector::utils::get_vector_type(schema, column.as_ref().unwrap())?; + let is_binary = matches!(element_type, DataType::UInt8); + if matches!(vector_field.data_type(), DataType::List(_)) + || (query.base.offset.unwrap_or(0) == 0 && !is_binary) + { + // Lance distinguishes these cases from the vector column type: a + // list-like query against a List column is one multivector query, + // while the same query against a FixedSizeList column is a batch of + // independent queries. The batch path shares a single flat scan and + // bounds retained candidate data instead of running one scan per + // query vector. let vectors = query .query_vector .iter() .map(|arr| arr.as_ref()) .collect::>(); let dim = vectors[0].len(); + if let Some((query_index, actual_dim)) = vectors + .iter() + .enumerate() + .find_map(|(index, vector)| (vector.len() != dim).then_some((index, vector.len()))) + { + return Err(Error::InvalidInput { + message: format!( + "query vector at index {query_index} has dimension {actual_dim}, expected {dim}" + ), + }); + } let mut fsl_builder = FixedSizeListBuilder::with_capacity( - Float32Builder::with_capacity(dim), + Float32Builder::with_capacity(dim * vectors.len()), dim as i32, vectors.len(), ); @@ -197,8 +240,12 @@ pub async fn create_plan( fsl_builder.append(true); } query_vector = Some(Arc::new(fsl_builder.finish())); + is_batch_query = !matches!(vector_field.data_type(), DataType::List(_)); } else { - // Multiple query vectors: create a plan for each and union them + // Lance's batch path has no per-query offset, and its binary path + // requires primitive UInt8 queries rather than a fixed-size list. + // Keep the prior plan shape for these cases so offsets are applied + // per query and binary query vectors retain their primitive shape. let query_vecs = query.query_vector.clone(); let plan_futures = query_vecs .into_iter() @@ -211,7 +258,7 @@ pub async fn create_plan( } }) .collect::>(); - let plans = try_join_all(plan_futures).await?; + let plans = futures::future::try_join_all(plan_futures).await?; return create_multi_vector_plan(plans); } } @@ -222,7 +269,7 @@ pub async fn create_plan( let column = if let Some(col) = column { col } else { - let arrow_schema = Schema::from(ds_ref.schema()); + let arrow_schema = Schema::from(schema); default_vector_column(&arrow_schema, Some(query_vector.len() as i32))? }; @@ -248,10 +295,14 @@ pub async fn create_plan( } } - scanner.limit( - query.base.limit.map(|limit| limit as i64), - query.base.offset.map(|offset| offset as i64), - )?; + // For a batch query, `nearest` already applies k to each query vector. + // Adding Scanner's global limit would truncate the combined result to k rows. + if !is_batch_query { + scanner.limit( + query.base.limit.map(|limit| limit as i64), + query.base.offset.map(|offset| offset as i64), + )?; + } if let Some(ef) = query.ef { scanner.ef(ef); @@ -324,7 +375,97 @@ pub async fn create_plan( scanner.order_by(Some(order_by.clone()))?; } - Ok(scanner.create_plan().await?) + scanner + .create_plan() + .await + .map_err(|error| enrich_lance_field_not_found(error, schema)) +} + +/// Replace DataFusion's top-level field candidates with qualified leaf paths. +/// +/// DataFusion resolves nested fields but its `FieldNotFound` error only lists the +/// top-level Arrow fields. This makes a missing leaf look unavailable even when it +/// exists below a struct. Keep every other Lance/DataFusion error unchanged and +/// enrich only this one schema error at the LanceDB query boundary. +fn enrich_lance_field_not_found( + error: lance::Error, + schema: &lance_core::datatypes::Schema, +) -> Error { + let Some(field) = find_missing_field(&error) else { + return error.into(); + }; + field_not_found_error(field, &Schema::from(schema)) +} + +fn field_not_found_diagnostic( + error: &(dyn std::error::Error + 'static), + schema: &Schema, +) -> Option { + let field = find_missing_field(error)?; + Some(field_not_found_error(field, schema)) +} + +fn field_not_found_error(field: &Column, schema: &Schema) -> Error { + let valid_fields = leaf_field_paths(schema); + let mut message = format!("Schema error: No field named {}", field.quoted_flat_name()); + if !valid_fields.is_empty() { + message.push_str(". Valid fields are "); + message.push_str(&valid_fields.join(", ")); + } + message.push('.'); + + Error::InvalidInput { message } +} + +fn find_missing_field<'a>(error: &'a (dyn std::error::Error + 'static)) -> Option<&'a Column> { + if let Some(DataFusionError::SchemaError(schema_error, _)) = + error.downcast_ref::() + && let SchemaError::FieldNotFound { field, .. } = schema_error.as_ref() + { + return Some(field); + } + + error.source().and_then(find_missing_field) +} + +fn leaf_field_paths(schema: &Schema) -> Vec { + fn format_segment(segment: &str) -> String { + // Quote every segment instead of maintaining a SQL keyword list. Bare + // lowercase names such as `true` can be parsed as expressions rather + // than identifiers, while backticks preserve all field names in both + // local SQL parsers. + format!("`{}`", segment.replace('`', "``")) + } + + fn visit(fields: &arrow_schema::Fields, path: &mut Vec, paths: &mut Vec) { + for field in fields { + // Neither local planner can address an empty field-path segment, + // even when it is backtick-quoted. Do not advertise leaves beneath + // such a segment as valid filter fields. + if field.name().is_empty() { + continue; + } + path.push(field.name().clone()); + match field.data_type() { + DataType::Struct(children) if !children.is_empty() => { + visit(children, path, paths); + } + _ => { + paths.push( + path.iter() + .map(|segment| format_segment(segment)) + .collect::>() + .join("."), + ); + } + } + path.pop(); + } + } + + let mut paths = Vec::new(); + visit(schema.fields(), &mut Vec::new(), &mut paths); + paths } //Helper functions below @@ -684,7 +825,10 @@ async fn parse_arrow_ipc_response(bytes: bytes::Bytes) -> Result, dimension: i32) -> FixedSizeListArray { FixedSizeListArray::try_new_from_values(Float32Array::from(values), dimension).unwrap() @@ -833,7 +978,6 @@ mod tests { async fn test_execute_query_local_routing() { use crate::connect; use crate::table::query::execute_query; - use arrow_array::{Int32Array, RecordBatch}; use arrow_schema::{DataType, Field, Schema}; let conn = connect("memory://").execute().await.unwrap(); @@ -873,6 +1017,164 @@ mod tests { assert_eq!(count, 2); // 4 and 5 } + #[tokio::test] + async fn test_missing_filter_field_lists_nested_fields_in_local_planners() { + use crate::connect; + use arrow_schema::{DataType, Field, Schema}; + + let conn = connect("memory://").execute().await.unwrap(); + let metadata = Arc::new(StructArray::from(vec![ + ( + Arc::new(Field::new("year", DataType::Int32, false)), + Arc::new(Int32Array::from(vec![2024])) as ArrayRef, + ), + ( + Arc::new(Field::new("genre", DataType::Utf8, false)), + Arc::new(StringArray::from(vec!["fiction"])) as ArrayRef, + ), + ( + Arc::new(Field::new("Title", DataType::Int32, false)), + Arc::new(Int32Array::from(vec![7])) as ArrayRef, + ), + ( + Arc::new(Field::new("true", DataType::Int32, false)), + Arc::new(Int32Array::from(vec![8])) as ArrayRef, + ), + ( + Arc::new(Field::new("", DataType::Int32, false)), + Arc::new(Int32Array::from(vec![10])) as ArrayRef, + ), + ])); + let vector = Arc::new(fixed_size_list_array(vec![0.0, 1.0], 2)); + let schema = Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int32, false), + Field::new("vector", vector.data_type().clone(), false), + Field::new("content", DataType::Utf8, false), + Field::new("metadata", metadata.data_type().clone(), false), + ])); + let batch = RecordBatch::try_new( + schema, + vec![ + Arc::new(Int32Array::from(vec![1])), + vector, + Arc::new(StringArray::from(vec!["example"])), + metadata, + ], + ) + .unwrap(); + let table = conn + .create_table("nested_error", batch) + .execute() + .await + .unwrap(); + + let error = table + .query() + .only_if("year = 2024") + .execute() + .await + .err() + .expect("query should reject the unqualified nested field"); + let case_sensitive_path = "`metadata`.`Title`"; + let keyword_path = "`metadata`.`true`"; + let expected = format!( + "No field named year. Valid fields are `id`, `vector`, `content`, `metadata`.`year`, `metadata`.`genre`, {case_sensitive_path}, {keyword_path}." + ); + + assert!( + error.to_string().contains(&expected), + "unexpected error: {error}" + ); + for (path, value) in [(case_sensitive_path, 7), (keyword_path, 8)] { + table + .query() + .only_if(format!("{path} = {value}")) + .execute() + .await + .expect("the path advertised by the diagnostic should be reusable"); + } + + table.set_unenforced_primary_key(["id"]).await.unwrap(); + table + .set_lsm_write_spec(crate::table::LsmWriteSpec::unsharded()) + .await + .unwrap(); + let lsm_error = table + .query() + .only_if("year = 2024") + .execute() + .await + .err() + .expect("LSM query should reject the unqualified nested field"); + + assert!( + lsm_error.to_string().contains(&expected), + "unexpected LSM error: {lsm_error}" + ); + for (path, value) in [(case_sensitive_path, 7), (keyword_path, 8)] { + table + .query() + .only_if(format!("{path} = {value}")) + .execute() + .await + .expect("the path advertised by the diagnostic should be reusable in LSM queries"); + } + } + + #[test] + fn test_leaf_field_paths_preserve_arbitrary_depth() { + use arrow_schema::{DataType, Field, Schema}; + + fn nested_field(path: &[&str]) -> Field { + let mut segments = path.iter().rev(); + let mut field = Field::new( + *segments.next().expect("path must have a leaf"), + DataType::Int32, + false, + ); + for segment in segments { + field = Field::new(*segment, DataType::Struct(vec![field].into()), false); + } + field + } + + let schema = Schema::new(vec![ + nested_field(&["a", "b", "c", "d", "e"]), + nested_field(&["metadata", "child.with.dot"]), + nested_field(&["metadata", "Title"]), + nested_field(&["metadata", "123child"]), + nested_field(&["metadata", "child`tick"]), + nested_field(&["metadata", ""]), + nested_field(&["", "child"]), + ]); + + assert_eq!( + leaf_field_paths(&schema), + vec![ + "`a`.`b`.`c`.`d`.`e`", + "`metadata`.`child.with.dot`", + "`metadata`.`Title`", + "`metadata`.`123child`", + "`metadata`.`child``tick`", + ] + ); + + let source = DataFusionError::SchemaError( + Box::new(SchemaError::FieldNotFound { + field: Box::new(Column::from_name("missing")), + valid_fields: Vec::new(), + }), + Box::new(None), + ); + let error = field_not_found_diagnostic(&source, &schema).unwrap(); + assert!( + error.to_string().contains( + "Valid fields are `a`.`b`.`c`.`d`.`e`, `metadata`.`child.with.dot`, `metadata`.`Title`, `metadata`.`123child`, `metadata`.`child``tick`" + ), + "unexpected error: {error}" + ); + } + #[derive(Debug, Default)] struct CountingNamespaceClient { query_table_calls: AtomicUsize, @@ -886,10 +1188,56 @@ mod tests { async fn query_table(&self, _request: NsQueryTableRequest) -> lance::Result { self.query_table_calls.fetch_add(1, Ordering::SeqCst); - panic!("approx_mode queries must not be pushed down to namespace query_table"); + panic!("query must not be pushed down to namespace query_table"); } } + #[tokio::test] + async fn test_execute_query_pinned_snapshot_with_namespace_pushdown_runs_locally() { + use crate::connect; + use arrow_array::{Int32Array, RecordBatch}; + use arrow_schema::{DataType, Field, Schema}; + + let conn = connect("memory://").execute().await.unwrap(); + let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int32, false)])); + let batch = RecordBatch::try_new( + schema, + vec![Arc::new(Int32Array::from(vec![1, 2, 3, 4, 5]))], + ) + .unwrap(); + let table = conn + .create_table("test_pinned_namespace_fallback", vec![batch]) + .execute() + .await + .unwrap(); + + let namespace_client = Arc::new(CountingNamespaceClient::default()); + let mut native_table = table.as_native().unwrap().clone(); + native_table.namespace_client = Some(namespace_client.clone()); + native_table + .pushdown_operations + .insert(NamespaceClientPushdownOperation::QueryTable); + + let snapshot = native_table.checkout_current().await.unwrap(); + let snapshot = snapshot.as_any().downcast_ref::().unwrap(); + assert!(snapshot.dataset.time_travel_version().is_some()); + + let query = AnyQuery::Query(QueryRequest { + filter: Some(QueryFilter::Sql("id > 3".to_string())), + ..Default::default() + }); + let stream = execute_query(snapshot, &query, QueryExecutionOptions::default()) + .await + .unwrap(); + let batches = stream.try_collect::>().await.unwrap(); + + assert_eq!( + batches.iter().map(|batch| batch.num_rows()).sum::(), + 2 + ); + assert_eq!(namespace_client.query_table_calls.load(Ordering::SeqCst), 0); + } + #[tokio::test] async fn test_execute_query_approx_mode_with_namespace_pushdown_runs_locally() { use crate::connect; @@ -1007,7 +1355,38 @@ mod tests { } #[tokio::test] - async fn test_create_plan_multivector_structure() { + async fn test_query_snapshot_disables_namespace_pushdown() { + use crate::connect; + use crate::table::BaseTable; + use arrow_array::{Int32Array, RecordBatch}; + use arrow_schema::{DataType, Field, Schema}; + + let conn = connect("memory://").execute().await.unwrap(); + let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int32, false)])); + let batch = + RecordBatch::try_new(schema, vec![Arc::new(Int32Array::from(vec![1, 2, 3]))]).unwrap(); + let table = conn + .create_table("test_snapshot_namespace_fallback", vec![batch]) + .execute() + .await + .unwrap(); + let mut native_table = table.as_native().unwrap().clone(); + native_table.namespace_client = Some(Arc::new(CountingNamespaceClient::default())); + native_table + .pushdown_operations + .insert(NamespaceClientPushdownOperation::QueryTable); + + let snapshot = BaseTable::query_snapshot(&native_table).await.unwrap(); + let snapshot = snapshot.as_any().downcast_ref::().unwrap(); + assert!( + !can_execute_namespace_query(snapshot, &AnyQuery::Query(QueryRequest::default()),) + .await + .unwrap() + ); + } + + #[tokio::test] + async fn test_create_plan_batch_vector_uses_shared_scan() { use arrow_array::{Float32Array, RecordBatch}; use arrow_schema::{DataType, Field, Schema}; use datafusion_physical_plan::display::DisplayableExecutionPlan; @@ -1034,11 +1413,18 @@ mod tests { .unwrap(); let native_table = table.as_native().unwrap(); - // This triggers the "create_multi_vector_plan" logic branch + // A batch of vectors against a fixed-size vector column should use + // Lance's native batch KNN path instead of independent scan plans. let q1 = Arc::new(Float32Array::from(vec![1.0, 2.0])); let q2 = Arc::new(Float32Array::from(vec![3.0, 4.0])); let req = VectorQueryRequest { + base: QueryRequest { + filter: Some(QueryFilter::Sql("id >= 0".to_string())), + limit: Some(1), + select: Select::Columns(vec!["id".to_string()]), + ..Default::default() + }, column: Some("vector".to_string()), query_vector: vec![q1, q2], ..Default::default() @@ -1055,19 +1441,17 @@ mod tests { .indent(true) .to_string(); - // We expect a RepartitionExec wrapping a UnionExec assert!( - display.contains("RepartitionExec"), - "Plan should include Repartitioning" + display.contains("KNNVectorDistance: queries=2"), + "plan should use native batch KNN, got:\n{display}" ); assert!( - display.contains("UnionExec"), - "Plan should include a Union of multiple searches" + !display.contains("UnionExec"), + "flat batch KNN should share one scan, got:\n{display}" ); - // We expect the projection to add the 'query_index' column (logic inside multi_vector_plan) assert!( display.contains("query_index"), - "Plan should add query_index column" + "plan should add query_index column, got:\n{display}" ); } diff --git a/rust/lancedb/src/table/query/lsm.rs b/rust/lancedb/src/table/query/lsm.rs index 255d649b1..86c1fe5f2 100644 --- a/rust/lancedb/src/table/query/lsm.rs +++ b/rust/lancedb/src/table/query/lsm.rs @@ -27,6 +27,8 @@ use std::sync::Arc; use arrow_array::Array; use arrow_schema::{DataType, Schema as ArrowSchema}; +use datafusion::common::{DataFusionError, ToDFSchema}; +use datafusion::prelude::SessionContext; use datafusion_physical_plan::expressions::Column; use datafusion_physical_plan::projection::ProjectionExec; use datafusion_physical_plan::{ExecutionPlan, PhysicalExpr}; @@ -298,7 +300,7 @@ async fn build_read_context( for shard_id in shard_ids { let manifest_store = ShardManifestStore::new(store.clone(), &base_path, shard_id, scan_batch_size); - if let Some(manifest) = manifest_store.read_latest().await? { + if let Some(manifest) = manifest_store.latest().await? { snapshots.push(snapshot_from_manifest(shard_id, &manifest, &exclude)); } } @@ -391,7 +393,21 @@ fn base_scanner( } if let Some(filter) = &query.base.filter { scanner = match filter { - QueryFilter::Sql(sql) => scanner.filter(sql)?, + QueryFilter::Sql(sql) => { + // Parse here instead of inside `LsmScanner::filter` so the typed + // DataFusion `FieldNotFound` error is still available for the + // same nested-field enrichment used by the ordinary scanner. + let schema = ArrowSchema::from(dataset.schema()); + let df_schema = schema.clone().to_dfschema().map_err(|error| { + enrich_filter_error(error, &schema, "Failed to create DFSchema") + })?; + let expr = SessionContext::new() + .parse_sql_expr(sql, &df_schema) + .map_err(|error| { + enrich_filter_error(error, &schema, "Failed to parse filter expression") + })?; + scanner.filter_expr(expr) + } QueryFilter::Datafusion(expr) => scanner.filter_expr(expr.clone()), QueryFilter::Substrait(_) => { return Err(Error::NotSupported { @@ -403,6 +419,12 @@ fn base_scanner( Ok(scanner) } +fn enrich_filter_error(error: DataFusionError, schema: &ArrowSchema, context: &str) -> Error { + super::field_not_found_diagnostic(&error, schema).unwrap_or_else(|| Error::InvalidInput { + message: format!("{context}: {error}"), + }) +} + /// Plain scan: filter / projection / limit over base ∪ SSTables ∪ in-memory. /// The plain scan applies limit and offset inside the planner. async fn plain_plan( diff --git a/rust/lancedb/src/table/refresh.rs b/rust/lancedb/src/table/refresh.rs index 7d74bbae7..35f883411 100644 --- a/rust/lancedb/src/table/refresh.rs +++ b/rust/lancedb/src/table/refresh.rs @@ -49,11 +49,25 @@ pub struct RefreshColumnResult { pub version: u64, } +struct RefreshExecution { + result: RefreshColumnResult, + source_version: u64, +} + /// Internal implementation of the refresh logic. pub(crate) async fn execute_refresh_column( table: &NativeTable, column: &str, ) -> Result { + Ok(execute_refresh_column_with_source(table, column) + .await? + .result) +} + +async fn execute_refresh_column_with_source( + table: &NativeTable, + column: &str, +) -> Result { table.dataset.ensure_mutable()?; ensure_no_lsm_write_spec(table).await?; let dataset = table.dataset.get().await?; @@ -87,9 +101,13 @@ pub(crate) async fn execute_refresh_column( } if replacements.is_empty() { - return Ok(RefreshColumnResult { - rows_filled: 0, - version: dataset.version().version, + let source_version = dataset.version().version; + return Ok(RefreshExecution { + result: RefreshColumnResult { + rows_filled: 0, + version: source_version, + }, + source_version, }); } @@ -110,14 +128,20 @@ pub(crate) async fn execute_refresh_column( let version = new_dataset.version().version; table.dataset.update(new_dataset); - Ok(RefreshColumnResult { - rows_filled, - version, + Ok(RefreshExecution { + result: RefreshColumnResult { + rows_filled, + version, + }, + source_version: read_version, }) } /// Run the refresh as a [`Job`] in this process. -pub(crate) async fn execute_refresh_column_async(table: &NativeTable, column: &str) -> Result { +pub(crate) async fn execute_refresh_column_async( + table: &NativeTable, + column: &str, +) -> Result> { // Validate before spawning so bad input is reported by this call rather // than only by the job. table.dataset.ensure_mutable()?; @@ -129,9 +153,16 @@ pub(crate) async fn execute_refresh_column_async(table: &NativeTable, column: &s let table = table.clone(); let column = column.to_string(); Ok(Job::spawned(tokio::spawn(async move { - execute_refresh_column(&table, &column).await?; + let execution = execute_refresh_column_with_source(&table, &column).await?; table.bump_freshness(); - Ok(()) + Ok(crate::function::RefreshColumnResult { + rows_assigned: execution.result.rows_filled, + rows_failed: 0, + rows_remaining: 0, + source_version: execution.source_version, + published_version: (execution.result.rows_filled > 0) + .then_some(execution.result.version), + }) }))) } @@ -396,6 +427,17 @@ mod tests { read(&table, "doubled").await, vec![Some(2), Some(4), Some(6)] ); + + let no_op = table + .refresh_column_async("doubled") + .await + .unwrap() + .wait() + .await + .unwrap(); + assert_eq!(no_op.rows_assigned, 0); + assert_eq!(no_op.source_version, 3); + assert_eq!(no_op.published_version, None); } /// Values written after the last refresh must be reachable by another one. @@ -646,7 +688,12 @@ mod tests { let job = table.refresh_column_async("doubled").await.unwrap(); assert!(job.id().is_none(), "in-process jobs have no server id"); - job.wait().await.unwrap(); + let result = job.wait().await.unwrap(); + assert_eq!(result.rows_assigned, 3); + assert_eq!(result.rows_failed, 0); + assert_eq!(result.rows_remaining, 0); + assert_eq!(result.source_version, 2); + assert_eq!(result.published_version, Some(3)); assert_eq!(job.status().await.unwrap(), "finished"); assert_eq!( read(&table, "doubled").await, @@ -672,9 +719,9 @@ mod tests { declare_doubled(&table).await.unwrap(); let job = table.refresh_column_async("doubled").await.unwrap(); - job.wait().await.unwrap(); + let first = job.wait().await.unwrap(); // A second wait after completion observes the same outcome. - job.wait().await.unwrap(); + assert_eq!(job.wait().await.unwrap(), first); assert_eq!(job.status().await.unwrap(), "finished"); } diff --git a/rust/lancedb/src/table/schema_evolution.rs b/rust/lancedb/src/table/schema_evolution.rs index d10a45eea..4f8dc811a 100644 --- a/rust/lancedb/src/table/schema_evolution.rs +++ b/rust/lancedb/src/table/schema_evolution.rs @@ -55,7 +55,9 @@ pub struct DropColumnsResult { pub struct FieldMetadataUpdate { /// Dot-separated path to the field (e.g. `"embedding"` or `"address.zip"`). pub path: String, - /// Keys to set (`Some`) or delete (`None`). + /// Keys to set (`Some`) or delete (`None`). See + /// [`Table::update_field_metadata`](crate::Table::update_field_metadata) for + /// the conventional `lancedb:*` keys. pub metadata: HashMap>, /// If `true`, replace the field's entire metadata map instead of merging. pub replace: bool, diff --git a/rust/lancedb/src/table/update.rs b/rust/lancedb/src/table/update.rs index 98050dfe8..f10594f23 100644 --- a/rust/lancedb/src/table/update.rs +++ b/rust/lancedb/src/table/update.rs @@ -62,22 +62,33 @@ impl UpdateBuilder { } /// Executes the update operation. - pub async fn execute(self) -> Result { + pub async fn execute(mut self) -> Result { if self.columns.is_empty() { Err(Error::InvalidInput { message: "at least one column must be specified in an update operation".to_string(), }) } else { + self.canonicalize_filter()?; self.parent.clone().update(self).await } } + + pub(crate) fn canonicalize_filter(&mut self) -> Result<()> { + self.filter = self + .filter + .take() + .map(|predicate| crate::expr::canonicalize_sql_predicate(&predicate)) + .transpose()?; + Ok(()) + } } /// Internal implementation of the update logic pub(crate) async fn execute_update( table: &NativeTable, - update: UpdateBuilder, + mut update: UpdateBuilder, ) -> Result { + update.canonicalize_filter()?; table.dataset.ensure_mutable()?; // 1. Snapshot the current dataset diff --git a/rust/lancedb/src/utils/mod.rs b/rust/lancedb/src/utils/mod.rs index 8bd306988..07d1836a1 100644 --- a/rust/lancedb/src/utils/mod.rs +++ b/rust/lancedb/src/utils/mod.rs @@ -225,6 +225,159 @@ pub(crate) fn resolve_arrow_field_path(schema: &Schema, column: &str) -> Result< Ok((canonical_path, Field::from(*field))) } +pub(crate) struct ResolvedFtsField { + pub canonical_path: String, + pub field: Field, + pub list_depth: usize, +} + +/// Canonicalize a public FTS field path while keeping Arrow list item names hidden. +pub(crate) fn resolve_lance_fts_field_path( + schema: &lance_core::datatypes::Schema, + column: &str, +) -> Result { + let names = + lance_core::datatypes::parse_field_path(column).map_err(|e| Error::InvalidInput { + message: format!("Invalid field path `{}`: {}", column, e), + })?; + let (root_name, remaining_names) = names.split_first().ok_or_else(|| Error::InvalidInput { + message: "FTS field path cannot be empty".to_string(), + })?; + let mut field = schema + .fields + .iter() + .find(|field| field.name == *root_name) + .or_else(|| { + schema + .fields + .iter() + .find(|field| field.name.eq_ignore_ascii_case(root_name)) + }) + .ok_or_else(|| fts_field_not_found(schema, column))?; + let mut canonical_names = vec![field.name.clone()]; + let mut list_depth = 0; + + for name in remaining_names { + while matches!( + field.data_type(), + DataType::List(_) | DataType::LargeList(_) + ) { + list_depth += 1; + field = field.children.first().ok_or_else(|| Error::Schema { + message: format!( + "FTS field path `{}` has a list without an item field", + column + ), + })?; + } + if !matches!(field.data_type(), DataType::Struct(_)) { + return Err(fts_field_not_found(schema, column)); + } + field = field + .children + .iter() + .find(|field| field.name == *name) + .or_else(|| { + field + .children + .iter() + .find(|field| field.name.eq_ignore_ascii_case(name)) + }) + .ok_or_else(|| fts_field_not_found(schema, column))?; + canonical_names.push(field.name.clone()); + } + + let mut terminal = field; + while matches!( + terminal.data_type(), + DataType::List(_) | DataType::LargeList(_) + ) { + list_depth += 1; + terminal = terminal.children.first().ok_or_else(|| Error::Schema { + message: format!( + "FTS field path `{}` has a list without an item field", + column + ), + })?; + } + + let canonical_path = lance_core::datatypes::format_field_path( + &canonical_names + .iter() + .map(String::as_str) + .collect::>(), + ); + Ok(ResolvedFtsField { + canonical_path, + field: Field::from(field), + list_depth, + }) +} + +fn fts_field_not_found(schema: &lance_core::datatypes::Schema, column: &str) -> Error { + Error::Schema { + message: format!( + "Field path `{}` not found in schema. Available field paths: {}", + column, + schema.field_paths().join(", ") + ), + } +} + +fn find_public_fts_field_path_by_id( + field: &lance_core::datatypes::Field, + field_id: i32, + path: &mut Vec, +) -> bool { + if field.id == field_id { + return true; + } + match field.data_type() { + DataType::List(_) | DataType::LargeList(_) => field + .children + .first() + .is_some_and(|child| find_public_fts_field_path_by_id(child, field_id, path)), + DataType::Struct(_) => field.children.iter().any(|child| { + path.push(child.name.clone()); + let found = find_public_fts_field_path_by_id(child, field_id, path); + if !found { + path.pop(); + } + found + }), + _ => false, + } +} + +pub(crate) fn public_fts_field_path_by_id( + schema: &lance_core::datatypes::Schema, + field_id: i32, +) -> Result { + for root in &schema.fields { + let mut path = vec![root.name.clone()]; + if find_public_fts_field_path_by_id(root, field_id, &mut path) { + return Ok(lance_core::datatypes::format_field_path( + &path.iter().map(String::as_str).collect::>(), + )); + } + } + Err(Error::Schema { + message: format!("Field id `{}` not found in schema", field_id), + }) +} + +pub(crate) fn resolve_arrow_fts_field_path( + schema: &Schema, + column: &str, +) -> Result<(String, Field)> { + let lance_schema = + lance_core::datatypes::Schema::try_from(schema).map_err(|e| Error::Schema { + message: format!("Invalid schema: {}", e), + })?; + let resolved = resolve_lance_fts_field_path(&lance_schema, column)?; + Ok((resolved.canonical_path, resolved.field)) +} + pub fn supported_btree_data_type(dtype: &DataType) -> bool { dtype.is_integer() || dtype.is_floating() @@ -480,6 +633,36 @@ mod tests { use super::*; + #[test] + fn test_public_fts_field_path_prefers_exact_case() { + let text_list = || { + DataType::List(Arc::new(Field::new( + "item", + DataType::Struct(vec![Field::new("content", DataType::Utf8, true)].into()), + true, + ))) + }; + let schema = Schema::new(vec![ + Field::new("Docs", text_list(), true), + Field::new("docs", text_list(), true), + ]); + + let (path, _) = resolve_arrow_fts_field_path(&schema, "docs.content").unwrap(); + assert_eq!(path, "docs.content"); + + let lance_schema = lance_core::datatypes::Schema::try_from(&schema).unwrap(); + let field_id = lance_schema + .resolve_case_insensitive("docs.item.content") + .unwrap() + .last() + .unwrap() + .id; + assert_eq!( + public_fts_field_path_by_id(&lance_schema, field_id).unwrap(), + "docs.content" + ); + } + #[test] fn test_guess_default_column() { let schema_no_vector = Schema::new(vec![ diff --git a/rust/lancedb/tests/blob_integration.rs b/rust/lancedb/tests/blob_integration.rs index b92f961f4..7b709b645 100644 --- a/rust/lancedb/tests/blob_integration.rs +++ b/rust/lancedb/tests/blob_integration.rs @@ -5,12 +5,14 @@ use std::sync::Arc; use arrow_array::{ Array, ArrayRef, BinaryArray, Int64Array, LargeBinaryArray, RecordBatch, StringArray, - StructArray, UInt64Array, + StructArray, UInt64Array, new_null_array, }; use arrow_schema::{DataType, Field, Fields, Schema}; use futures::TryStreamExt; use lance::Dataset; +use lance::dataset::WriteParams; use lance_file::version::{ConcreteFileVersion, LanceFileVersion}; +use lance_table::format::BasePath; use lancedb::{ Connection, Error, Result, Table, blob::{BlobRangeRequest, blob}, @@ -19,7 +21,7 @@ use lancedb::{ ListingDatabaseOptions, NewTableConfig, OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS, }, query::{ExecutableQuery, QueryBase}, - table::{AddDataMode, CompactionOptions, OptimizeAction, OptimizeStats}, + table::{AddDataMode, CompactionOptions, OptimizeAction, OptimizeStats, WriteOptions}, }; use tempfile::tempdir; @@ -261,11 +263,11 @@ async fn add_rejects_uncoercible_blob_input() -> Result<()> { let batch = RecordBatch::try_new( Arc::new(Schema::new(vec![ Field::new("id", DataType::Int64, false), - Field::new("image", DataType::Utf8, true), + Field::new("image", DataType::Int64, true), ])), vec![ Arc::new(Int64Array::from(vec![1])), - Arc::new(StringArray::from(vec!["not bytes"])), + Arc::new(Int64Array::from(vec![42])), ], ) .unwrap(); @@ -1332,3 +1334,223 @@ async fn optimize_preserves_blob_v2_null_and_empty_distinction() -> Result<()> { ); Ok(()) } + +fn uri_struct_batch(id: i64, uri: &str) -> RecordBatch { + let image_field = blob("image", true); + let DataType::Struct(child_fields) = image_field.data_type().clone() else { + unreachable!("blob field is a struct"); + }; + let children: Vec = child_fields + .iter() + .map(|field| match field.name().as_str() { + "uri" => Arc::new(StringArray::from(vec![Some(uri)])) as ArrayRef, + _ => new_null_array(field.data_type(), 1), + }) + .collect(); + let image = StructArray::new(child_fields, children, None); + RecordBatch::try_new( + Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int64, false), + image_field, + ])), + vec![Arc::new(Int64Array::from(vec![id])), Arc::new(image)], + ) + .unwrap() +} + +fn uri_string_batch(id: i64, uri: &str) -> RecordBatch { + RecordBatch::try_new( + Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int64, false), + Field::new("image", DataType::Utf8, true), + ])), + vec![ + Arc::new(Int64Array::from(vec![id])), + Arc::new(StringArray::from(vec![Some(uri)])), + ], + ) + .unwrap() +} + +fn write_payload_file_uri(dir: &std::path::Path, name: &str, payload: &[u8]) -> String { + let path = dir.join(name); + std::fs::write(&path, payload).unwrap(); + url::Url::from_file_path(&path).unwrap().to_string() +} + +#[tokio::test] +async fn external_uri_struct_round_trips_with_flag() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().join("db").to_str().unwrap()) + .execute() + .await?; + let payload: &[u8] = b"external-struct-payload"; + let uri = write_payload_file_uri(tmp.path(), "payload.bin", payload); + let table = db + .create_empty_table("t", blob_table_schema()) + .execute() + .await?; + + table + .add(uri_struct_batch(1, &uri)) + .allow_external_blob_outside_bases(true) + .execute() + .await?; + + let ids = collect_row_ids(&table).await?; + let bytes = table.fetch_blobs("image", &ids).await?; + assert_eq!(bytes.value(0), payload); + Ok(()) +} + +#[tokio::test] +async fn external_uri_add_requires_opt_in() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().join("db").to_str().unwrap()) + .execute() + .await?; + let uri = write_payload_file_uri(tmp.path(), "payload.bin", b"unreachable"); + let table = db + .create_empty_table("t", blob_table_schema()) + .execute() + .await?; + + let err = table + .add(uri_struct_batch(1, &uri)) + .execute() + .await + .unwrap_err(); + + assert!( + err.to_string() + .contains("allow_external_blob_outside_bases"), + "got: {err}" + ); + assert_eq!(table.count_rows(None).await?, 0); + Ok(()) +} + +#[tokio::test] +async fn string_uri_input_round_trips_as_external_reference() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().join("db").to_str().unwrap()) + .execute() + .await?; + let payload: &[u8] = b"external-string-payload"; + let uri = write_payload_file_uri(tmp.path(), "payload.bin", payload); + let table = db + .create_empty_table("t", blob_table_schema()) + .execute() + .await?; + + table + .add(uri_string_batch(1, &uri)) + .allow_external_blob_outside_bases(true) + .execute() + .await?; + + let ids = collect_row_ids(&table).await?; + let bytes = table.fetch_blobs("image", &ids).await?; + assert_eq!(bytes.value(0), payload); + + let files = table.fetch_blob_files("image", &ids).await?; + let file = files[0].as_ref().expect("missing blob file"); + assert_eq!(file.uri(), Some(uri.as_str())); + Ok(()) +} + +#[tokio::test] +async fn string_uri_inside_registered_base_does_not_need_the_flag() -> Result<()> { + let tmp = tempdir().unwrap(); + let db_path = tmp.path().join("db"); + let external_base = tmp.path().join("external_base"); + let object_dir = external_base.join("objects"); + std::fs::create_dir_all(&object_dir).unwrap(); + let payload: &[u8] = b"mapped-in-base"; + let object_path = object_dir.join("mapped.bin"); + std::fs::write(&object_path, payload).unwrap(); + let object_uri = url::Url::from_file_path(&object_path).unwrap().to_string(); + let base_uri = url::Url::from_file_path(&external_base) + .unwrap() + .to_string(); + + let db = connect(db_path.to_str().unwrap()).execute().await?; + let table = db + .create_empty_table("t", blob_table_schema()) + .write_options(WriteOptions { + lance_write_params: Some(WriteParams { + initial_bases: Some(vec![BasePath { + id: 1, + name: Some("external".to_string()), + path: base_uri, + is_dataset_root: false, + }]), + ..Default::default() + }), + }) + .execute() + .await?; + + table + .add(uri_string_batch(1, &object_uri)) + .execute() + .await?; + + let ids = collect_row_ids(&table).await?; + let bytes = table.fetch_blobs("image", &ids).await?; + assert_eq!(bytes.value(0), payload); + Ok(()) +} + +#[tokio::test] +async fn external_uri_rows_mix_with_inline_rows() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().join("db").to_str().unwrap()) + .execute() + .await?; + let external_payload: &[u8] = b"external-bytes"; + let uri = write_payload_file_uri(tmp.path(), "payload.bin", external_payload); + let table = + create_inline_blob_table(&db, "t", &[1], &[Some(b"inline-bytes".as_slice())]).await?; + + table + .add(uri_string_batch(2, &uri)) + .allow_external_blob_outside_bases(true) + .execute() + .await?; + + let pairs = collect_id_rowid(&table).await?; + let row_ids: Vec = pairs.iter().map(|(_, r)| *r).collect(); + let bytes = table.fetch_blobs("image", &row_ids).await?; + for (i, (id, _)) in pairs.iter().enumerate() { + match id { + 1 => assert_eq!(bytes.value(i), b"inline-bytes"), + 2 => assert_eq!(bytes.value(i), external_payload), + _ => unreachable!(), + } + } + Ok(()) +} + +#[tokio::test] +async fn malformed_string_uri_is_rejected_at_write() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().join("db").to_str().unwrap()) + .execute() + .await?; + let table = db + .create_empty_table("t", blob_table_schema()) + .execute() + .await?; + + let err = table + .add(uri_string_batch(1, "not a uri")) + .allow_external_blob_outside_bases(true) + .execute() + .await + .unwrap_err(); + + assert!(err.to_string().contains("not a uri"), "got: {err}"); + assert_eq!(table.count_rows(None).await?, 0); + Ok(()) +} diff --git a/rust/lancedb/tests/first_class_function_slice1.rs b/rust/lancedb/tests/first_class_function_slice1.rs index dc565d309..ce020bd53 100644 --- a/rust/lancedb/tests/first_class_function_slice1.rs +++ b/rust/lancedb/tests/first_class_function_slice1.rs @@ -20,25 +20,6 @@ fn job_result(name: &str) -> Value { serde_json::from_str::(&fixture(name)).expect("remote Job fixture")["result"].clone() } -fn assert_no_secret_values(value: &Value) { - match value { - Value::Object(values) => { - for (key, value) in values { - assert!( - !matches!( - key.as_str(), - "secret_value" | "secret_values" | "resolved_secret" | "resolved_secrets" - ), - "client canonical value must not model resolved secret material" - ); - assert_no_secret_values(value); - } - } - Value::Array(values) => values.iter().for_each(assert_no_secret_values), - _ => {} - } -} - #[test] fn function_version_job_result_matches_shared_canonical_golden() { let result = job_result("remote_function_job.json"); @@ -47,7 +28,6 @@ fn function_version_job_result_matches_shared_canonical_golden() { assert_eq!(version.name(), "embed"); assert_eq!(version.version(), "fv_01K3EXACT"); assert_eq!(version.runtime_digest(), "sha256:runtime"); - assert_eq!(version.required_secrets(), &["HF_TOKEN"]); assert_eq!( version.to_canonical_json().expect("canonical JSON"), fixture("remote_function_version.canonical.json").trim() @@ -84,7 +64,6 @@ fn application_and_binding_match_shared_remote_goldens() { let binding = FunctionBinding::from_json(&fixture("remote_function_binding.json")) .expect("binding fixture"); - assert_eq!(binding.revision(), 3); assert_eq!(binding.function().version, "fv_01K3TEXT"); assert_eq!(binding.outputs()[0].output_ordinal, 0); assert_eq!(binding.outputs()[1].output_ordinal, 1); @@ -163,21 +142,3 @@ fn floating_point_application_literals_are_rejected_consistently() { .contains("floating-point Function literals") ); } - -#[test] -fn canonical_client_values_contain_secret_names_only() { - let result = job_result("remote_function_job.json"); - let version = FunctionVersion::from_json(&result.to_string()).expect("FunctionVersion result"); - let canonical: Value = serde_json::from_str( - &version - .to_canonical_json() - .expect("canonical FunctionVersion"), - ) - .expect("canonical JSON"); - - assert_eq!( - canonical["required_secrets"], - serde_json::json!(["HF_TOKEN"]) - ); - assert_no_secret_values(&canonical); -} diff --git a/rust/lancedb/tests/first_class_function_slice2.rs b/rust/lancedb/tests/first_class_function_slice2.rs index 3bae57122..93252dde4 100644 --- a/rust/lancedb/tests/first_class_function_slice2.rs +++ b/rust/lancedb/tests/first_class_function_slice2.rs @@ -6,7 +6,6 @@ use std::path::PathBuf; use lancedb::Error; use lancedb::function::FunctionRegistrationRequest; -use serde_json::Value; fn fixture(name: &str) -> String { let path = PathBuf::from(env!("CARGO_MANIFEST_DIR")) @@ -15,25 +14,6 @@ fn fixture(name: &str) -> String { fs::read_to_string(path).expect("fixture must be readable") } -fn assert_no_secret_values(value: &Value) { - match value { - Value::Object(values) => { - for (key, value) in values { - assert!( - !matches!( - key.as_str(), - "secret_value" | "secret_values" | "resolved_secret" | "resolved_secrets" - ), - "registration requests must not model resolved secret material" - ); - assert_no_secret_values(value); - } - } - Value::Array(values) => values.iter().for_each(assert_no_secret_values), - _ => {} - } -} - #[test] fn registration_request_matches_shared_canonical_golden() { let request = FunctionRegistrationRequest::from_json(&fixture( @@ -42,16 +22,10 @@ fn registration_request_matches_shared_canonical_golden() { .expect("registration request"); assert_eq!(request.name, "normalize_score"); assert_eq!(request.artifact.adapter.kind, "scalar_to_arrow_batch"); - assert_eq!(request.required_secrets, ["API_TOKEN"]); assert_eq!( request.to_canonical_json().expect("canonical request"), fixture("remote_function_registration_request.canonical.json").trim() ); - - let value: Value = - serde_json::from_str(&request.to_canonical_json().expect("canonical request")) - .expect("request JSON"); - assert_no_secret_values(&value); } #[tokio::test] diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json new file mode 100644 index 000000000..ff26e4c08 --- /dev/null +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json @@ -0,0 +1,333 @@ +{ + "valid": [ + { + "arrow_type": "bool", + "json": { + "type": "bool" + } + }, + { + "arrow_type": "int8", + "json": { + "type": "int8" + } + }, + { + "arrow_type": "int16", + "json": { + "type": "int16" + } + }, + { + "arrow_type": "int32", + "json": { + "type": "int32" + } + }, + { + "arrow_type": "int64", + "json": { + "type": "int64" + } + }, + { + "arrow_type": "uint8", + "json": { + "type": "uint8" + } + }, + { + "arrow_type": "uint16", + "json": { + "type": "uint16" + } + }, + { + "arrow_type": "uint32", + "json": { + "type": "uint32" + } + }, + { + "arrow_type": "uint64", + "json": { + "type": "uint64" + } + }, + { + "arrow_type": "float16", + "json": { + "type": "float16" + } + }, + { + "arrow_type": "float32", + "json": { + "type": "float32" + } + }, + { + "arrow_type": "float64", + "json": { + "type": "float64" + } + }, + { + "arrow_type": "utf8", + "json": { + "type": "utf8" + } + }, + { + "arrow_type": "binary", + "json": { + "type": "binary" + } + }, + { + "arrow_type": "date32", + "json": { + "type": "date32" + } + }, + { + "arrow_type": "date64", + "json": { + "type": "date64" + } + }, + { + "arrow_type": "list", + "json": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float32" + } + } + ] + } + }, + { + "arrow_type": "large_list", + "json": { + "type": "large_list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float32" + } + } + ] + } + }, + { + "arrow_type": "list", + "json": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "int64" + } + } + ] + } + }, + { + "arrow_type": "large_list", + "json": { + "type": "large_list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "int64" + } + } + ] + } + }, + { + "arrow_type": "list", + "json": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "utf8" + } + } + ] + } + }, + { + "arrow_type": "large_list", + "json": { + "type": "large_list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "utf8" + } + } + ] + } + }, + { + "arrow_type": "fixed_size_list", + "json": { + "type": "fixed_size_list", + "length": 384, + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float32" + } + } + ] + } + }, + { + "arrow_type": "fixed_size_list", + "json": { + "type": "fixed_size_list", + "length": 8, + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float16" + } + } + ] + } + }, + { + "arrow_type": "fixed_size_list", + "json": { + "type": "fixed_size_list", + "length": 1, + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "uint8" + } + } + ] + } + }, + { + "arrow_type": "list>", + "json": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float32" + } + } + ] + } + } + ] + } + }, + { + "arrow_type": "fixed_size_list, 2>", + "json": { + "type": "fixed_size_list", + "length": 2, + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "int32" + } + } + ] + } + } + ] + } + }, + { + "arrow_type": "list>", + "json": { + "type": "list", + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "fixed_size_list", + "length": 3, + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float32" + } + } + ] + } + } + ] + } + } + ], + "server_only": [ + { + "arrow_type": "null", + "json": { + "type": "null" + } + } + ], + "invalid": [ + "", + "list<>", + "list[3]", + "fixed_size_list", + "fixed_size_list", + "fixed_size_list", + "map", + "decimal128(10, 2)", + "timestamp[us]", + "struct" + ] +} \ No newline at end of file diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_fixed_size_declaration_request.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_fixed_size_declaration_request.json new file mode 100644 index 000000000..fd3944412 --- /dev/null +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_fixed_size_declaration_request.json @@ -0,0 +1,78 @@ +{ + "new_columns": [ + { + "name": "embedding", + "all_null": true + } + ], + "function": { + "application": { + "function": { + "name": "embed", + "version": "fv_01K3EXACT" + }, + "inputs": [ + { + "parameter": "text", + "kind": "column", + "value": { + "path": "description" + } + } + ], + "output": { + "kind": "scalar", + "arrow_type": "fixed_size_list", + "nullable": false + } + }, + "binding_metadata_version": 1, + "input_bindings": [ + { + "parameter": "text", + "field_path": "description", + "arrow_type": "utf8", + "nullable": true + } + ], + "input_schema": { + "fields": [ + { + "name": "text", + "nullable": true, + "type": { + "type": "utf8" + } + } + ] + }, + "output_schema": { + "fields": [ + { + "name": "embedding", + "nullable": true, + "type": { + "type": "fixed_size_list", + "length": 3, + "fields": [ + { + "name": "item", + "nullable": false, + "type": { + "type": "float32" + } + } + ] + } + } + ] + }, + "outputs": [ + { + "result_field": "$value", + "output_name": "embedding", + "output_ordinal": 0 + } + ] + } +} diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.canonical.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.canonical.json index 05da9fe39..b91dd1061 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.canonical.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.canonical.json @@ -1 +1 @@ -{"columns":{"normalized_text":"search_text","token_count":"search_token_count"},"function":{"name":"text_features","version":"fv_01K3TEXT"},"group_id":"fg_01K3TEXT","inputs":[{"kind":"column","parameter":"title","value":{"path":"title"}},{"kind":"column","parameter":"body","value":{"path":"body"}}],"output":{"fields":[{"arrow_type":"utf8","name":"normalized_text","nullable":false},{"arrow_type":"int64","name":"token_count","nullable":false}],"kind":"named_struct"}} +{"columns":{"normalized_text":"search_text","token_count":"search_token_count"},"function":{"name":"text_features","version":"fv_01K3TEXT"},"inputs":[{"kind":"column","parameter":"title","value":{"path":"title"}},{"kind":"column","parameter":"body","value":{"path":"body"}}],"output":{"fields":[{"arrow_type":"utf8","name":"normalized_text","nullable":false},{"arrow_type":"int64","name":"token_count","nullable":false}],"kind":"named_struct"}} diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.json index 44aeff460..177821aaa 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application.json @@ -11,7 +11,6 @@ {"name": "token_count", "arrow_type": "int64", "nullable": false} ] }, - "group_id": "fg_01K3TEXT", "columns": { "normalized_text": "search_text", "token_count": "search_token_count" diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application_float.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application_float.json index 47724eee0..c23c8f3ca 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application_float.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_application_float.json @@ -3,6 +3,5 @@ "inputs": [ {"parameter": "threshold", "kind": "literal", "value": 1e-7} ], - "output": {"kind": "scalar", "arrow_type": "bool", "nullable": false}, - "group_id": "fg_01K3FLOAT" + "output": {"kind": "scalar", "arrow_type": "bool", "nullable": false} } diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.canonical.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.canonical.json index 7bf93b8a8..143190f78 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.canonical.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.canonical.json @@ -1 +1 @@ -{"binding_id":"fb_01K3TEXT","function":{"name":"text_features","version":"fv_01K3TEXT"},"group_id":"fg_01K3TEXT","input_schema":{"fields":[{"name":"title","nullable":true,"type":{"type":"utf8"}},{"name":"body","nullable":true,"type":{"type":"utf8"}}]},"inputs":[{"arrow_type":"utf8","field_id":11,"field_path":"title","nullable":true,"parameter":"title"},{"arrow_type":"utf8","field_id":12,"field_path":"body","nullable":true,"parameter":"body"}],"output_schema":{"fields":[{"name":"search_text","nullable":true,"type":{"type":"utf8"}},{"name":"search_token_count","nullable":true,"type":{"type":"int64"}}]},"outputs":[{"arrow_type":"utf8","nullable":false,"output_field_id":21,"output_name":"search_text","output_ordinal":0,"result_field":"normalized_text"},{"arrow_type":"int64","nullable":false,"output_field_id":22,"output_name":"search_token_count","output_ordinal":1,"result_field":"token_count"}],"revision":3} +{"binding_id":"fb_01K3TEXT","function":{"name":"text_features","version":"fv_01K3TEXT"},"input_schema":{"fields":[{"name":"title","nullable":true,"type":{"type":"utf8"}},{"name":"body","nullable":true,"type":{"type":"utf8"}}]},"inputs":[{"arrow_type":"utf8","field_id":11,"field_path":"title","nullable":true,"parameter":"title"},{"arrow_type":"utf8","field_id":12,"field_path":"body","nullable":true,"parameter":"body"}],"output_schema":{"fields":[{"name":"search_text","nullable":true,"type":{"type":"utf8"}},{"name":"search_token_count","nullable":true,"type":{"type":"int64"}}]},"outputs":[{"arrow_type":"utf8","nullable":false,"output_field_id":21,"output_name":"search_text","output_ordinal":0,"result_field":"normalized_text"},{"arrow_type":"int64","nullable":false,"output_field_id":22,"output_name":"search_token_count","output_ordinal":1,"result_field":"token_count"}]} diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.json index 1a2053e42..dec3fa3f8 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_binding.json @@ -1,8 +1,6 @@ { "binding_id": "fb_01K3TEXT", - "revision": 3, "function": {"name": "text_features", "version": "fv_01K3TEXT"}, - "group_id": "fg_01K3TEXT", "inputs": [ {"parameter": "title", "field_id": 11, "field_path": "title", "arrow_type": "utf8", "nullable": true}, {"parameter": "body", "field_id": 12, "field_path": "body", "arrow_type": "utf8", "nullable": true} @@ -23,5 +21,5 @@ {"name": "search_token_count", "nullable": true, "type": {"type": "int64"}} ] }, - "future_binding": {"metadata_revision": 1} + "future_binding": {"mode": "managed"} } diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_job.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_job.json index 6ba4eb226..39a279692 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_job.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_job.json @@ -24,7 +24,6 @@ }, "runtime_digest": "sha256:runtime", "environment_digest": "sha256:environment", - "required_secrets": ["HF_TOKEN"], "created_at": "2026-08-21T00:00:00Z" }, "future_job": {"trace_id": "trace-1"} diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.canonical.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.canonical.json index 24fa2cf30..a2f2c4c21 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.canonical.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.canonical.json @@ -1 +1 @@ -{"artifact":{"adapter":{"kind":"scalar_to_arrow_batch","version":1},"content":{"data":"ZnJvbSBfX2Z1dHVyZV9fIGltcG9ydCBhbm5vdGF0aW9ucwoKZGVmIG5vcm1hbGl6ZV9zY29yZSh2YWx1ZTogZmxvYXQpIC0+IGZsb2F0OgogICAgcmV0dXJuIHZhbHVlIC8gMTAwLjAK","encoding":"base64"},"digest":"sha256:760784bdcef57b802f389b97804cc0b618aae39e86044733451bcd0b13089a7f","entrypoint":"normalize_score","kind":"python_callable"},"name":"normalize_score","required_secrets":["API_TOKEN"],"runtime":{"env":{"MODE":"test"},"environment":{"kind":"pip","packages":["numpy>=2"]},"kind":"python","python_version":"3.12"},"signature":{"inputs":[{"arrow_type":"float64","name":"value","nullable":false}],"output":{"arrow_type":"float64","kind":"scalar","nullable":false}}} +{"artifact":{"adapter":{"kind":"scalar_to_arrow_batch","version":1},"content":{"data":"ZnJvbSBfX2Z1dHVyZV9fIGltcG9ydCBhbm5vdGF0aW9ucwoKZGVmIG5vcm1hbGl6ZV9zY29yZSh2YWx1ZTogZmxvYXQpIC0+IGZsb2F0OgogICAgcmV0dXJuIHZhbHVlIC8gMTAwLjAK","encoding":"base64"},"digest":"sha256:760784bdcef57b802f389b97804cc0b618aae39e86044733451bcd0b13089a7f","entrypoint":"normalize_score","kind":"python_callable"},"name":"normalize_score","runtime":{"env":{"MODE":"test"},"environment":{"kind":"pip","packages":["numpy>=2"]},"kind":"python","python_version":"3.12"},"signature":{"inputs":[{"arrow_type":"float64","name":"value","nullable":false}],"output":{"arrow_type":"float64","kind":"scalar","nullable":false}}} diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.json index bbfec3169..092d76dc2 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_registration_request.json @@ -39,8 +39,5 @@ "env": { "MODE": "test" } - }, - "required_secrets": [ - "API_TOKEN" - ] + } } diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_version.canonical.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_version.canonical.json index 7ab632a98..2670ad0b2 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_version.canonical.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_function_version.canonical.json @@ -1 +1 @@ -{"artifact":{"digest":"sha256:code","entrypoint":"embed","kind":"python_callable"},"created_at":"2026-08-21T00:00:00Z","environment_digest":"sha256:environment","name":"embed","required_secrets":["HF_TOKEN"],"runtime":{"env":{"TOKENIZERS_PARALLELISM":"false"},"environment":{"kind":"pip","packages":["sentence-transformers>=3"]},"kind":"python","python_version":"3.12"},"runtime_digest":"sha256:runtime","signature":{"inputs":[{"arrow_type":"utf8","name":"text","nullable":true}],"output":{"arrow_type":"list","kind":"scalar","nullable":false}},"version":"fv_01K3EXACT"} +{"artifact":{"digest":"sha256:code","entrypoint":"embed","kind":"python_callable"},"created_at":"2026-08-21T00:00:00Z","environment_digest":"sha256:environment","name":"embed","runtime":{"env":{"TOKENIZERS_PARALLELISM":"false"},"environment":{"kind":"pip","packages":["sentence-transformers>=3"]},"kind":"python","python_version":"3.12"},"runtime_digest":"sha256:runtime","signature":{"inputs":[{"arrow_type":"utf8","name":"text","nullable":true}],"output":{"arrow_type":"list","kind":"scalar","nullable":false}},"version":"fv_01K3EXACT"} diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_grouped_declaration_request.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_multi_output_declaration_request.json similarity index 97% rename from rust/lancedb/tests/fixtures/first_class_functions/v1/remote_grouped_declaration_request.json rename to rust/lancedb/tests/fixtures/first_class_functions/v1/remote_multi_output_declaration_request.json index d0b42cc99..c4ef5009f 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_grouped_declaration_request.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_multi_output_declaration_request.json @@ -17,7 +17,6 @@ {"name": "token_count", "arrow_type": "int64", "nullable": false} ] }, - "group_id": "fg_01K3TEXT", "columns": {"normalized_text": "search_text"} }, "binding_metadata_version": 1, diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_refresh_job.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_refresh_job.json index bb2490bc8..c2d49827d 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_refresh_job.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_refresh_job.json @@ -3,7 +3,7 @@ "job_type": "refresh_function_columns", "job_state": "DONE", "creation_ms": 1787270400001, - "spec": {"table": "documents", "binding_revision": 3}, + "spec": {"table": "documents", "binding_id": "fb_01K3TEXT"}, "result": { "rows_assigned": 999998800, "rows_failed": 0, diff --git a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_scalar_declaration_request.json b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_scalar_declaration_request.json index 0aaa0cf72..357834de0 100644 --- a/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_scalar_declaration_request.json +++ b/rust/lancedb/tests/fixtures/first_class_functions/v1/remote_scalar_declaration_request.json @@ -8,8 +8,7 @@ "inputs": [ {"parameter": "text", "kind": "column", "value": {"path": "description"}} ], - "output": {"kind": "scalar", "arrow_type": "list", "nullable": false}, - "group_id": "fg_scalar" + "output": {"kind": "scalar", "arrow_type": "list", "nullable": false} }, "binding_metadata_version": 1, "input_bindings": [